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Journal articles on the topic 'SAR'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Czarnocka, Weronika, Yosef Fichman, Maciej Bernacki, et al. "FMO1 Is Involved in Excess Light Stress-Induced Signal Transduction and Cell Death Signaling." Cells 9, no. 10 (2020): 2163. http://dx.doi.org/10.3390/cells9102163.

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Because of their sessile nature, plants evolved integrated defense and acclimation mechanisms to simultaneously cope with adverse biotic and abiotic conditions. Among these are systemic acquired resistance (SAR) and systemic acquired acclimation (SAA). Growing evidence suggests that SAR and SAA activate similar cellular mechanisms and employ common signaling pathways for the induction of acclimatory and defense responses. It is therefore possible to consider these processes together, rather than separately, as a common systemic acquired acclimation and resistance (SAAR) mechanism. Arabidopsis

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Chen, Junyi, Yanyun Shen, Yinyu Liang, Zhipan Wang, and Qingling Zhang. "YOLO-SAD: An Efficient SAR Aircraft Detection Network." Applied Sciences 14, no. 7 (2024): 3025. http://dx.doi.org/10.3390/app14073025.

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Aircraft detection in SAR images of airports remains crucial for continuous ground observation and aviation transportation scheduling in all weather conditions, but low resolution and complex scenes pose unique challenges. Existing methods struggle with accuracy, overlapping detections, and missed targets. We propose You Only Look Once-SAR Aircraft Detector (YOLO-SAD), a novel detector that tackles these issues. YOLO-SAD leverages the Attention-Efficient Layer Aggregation Network-Head (A-ELAN-H) module to prioritize essential features for improved accuracy. Additionally, the SAR Aircraft Detec

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Gupta, Ashish, Braj Bhushan, and Laxmidhar Behera. "Neural response to sad autobiographical recall and sad music listening post recall reveals distinct brain activation in alpha and gamma bands." PLOS ONE 18, no. 1 (2023): e0279814. http://dx.doi.org/10.1371/journal.pone.0279814.

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Although apparently paradoxical, sad music has been effective in coping with sad life experiences. The underpinning brain neural correlates of this are not well explored. We performed Electroencephalography (EEG) source-level analysis for the brain during a sad autobiographical recall (SAR) and upon exposure to sad music. We specifically investigated the Cingulate cortex complex and Parahippocampus (PHC) regions, areas prominently involved in emotion and memory processing. Results show enhanced alpha band lag phase-synchronization in the brain during sad music listening, especially within and

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Khamseh, Amir. "On Generalized Schur Numbers of the Equation x+ay=z." Journal of Mathematics 2020 (May 31, 2020): 1–5. http://dx.doi.org/10.1155/2020/7069730.

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Let a and r be positive integers. By definition, sar is the least positive integer such that, for any r-coloring of the interval 1,sar, there exists a monochromatic solution to x+ay=z. For a=1, the numbers sr=s1r are classical Schur numbers. In this paper, we study the numbers sar for a≥2.

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Sumarjono, Erry, Agung Dwi Sutrisno, and Denanson Ornansah Sinaga. "DETERMINATION OF THE QUALITY WATER SANGON RIVER THAT EFFECTED BY AMALGAMATION GOLD ORE PROCESSING IN KALIREJO KOKAP DAERAH ISTIMEWA YOGYAKARTA." KURVATEK 7, no. 2 (2022): 17–24. http://dx.doi.org/10.33579/krvtk.v7i2.3758.

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Amalgamasi adalah salah satu metode yang dapat digunakan untuk ekstraksi emas dengan menggunakan merkuri. Merkuri merupakan logam berat yang sangat berbahaya bagi kesehatan manusia. Pembuangan limbah pengolahan bijih emas dengan menggunakan metode amalgamasi yang masih mengandung merkuri ke sungai dapat mempengaruhi kualitas air sungai tersebut. Penelitian yang dilakukan di Sungai Sangon untuk mengukur kandungan merkuri di dalam air sungai tersebut dan menentukan status mutu air sungai tersebut berdasarkan baku mutu air dalam Peraturan Pemerintah No. 82 Tahun 2001. Pengambilan sampel dilakukan

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Gao, Fei, Wei Shi, Jun Wang, Erfu Yang, and Huiyu Zhou. "Enhanced Feature Extraction for Ship Detection from Multi-Resolution and Multi-Scene Synthetic Aperture Radar (SAR) Images." Remote Sensing 11, no. 22 (2019): 2694. http://dx.doi.org/10.3390/rs11222694.

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Independent of daylight and weather conditions, synthetic aperture radar (SAR) images have been widely used for ship monitoring. The traditional methods for SAR ship detection are highly dependent on the statistical models of sea clutter or some predefined thresholds, and generally require a multi-step operation, which results in time-consuming and less robust ship detection. Recently, deep learning algorithms have found wide applications in ship detection from SAR images. However, due to the multi-resolution imaging mode and complex background, it is hard for the network to extract representa

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Uknes, S., T. Delaney, B. Vernooij, et al. "1007 SYSTEMIC ACQUIRED RESISTANCE." HortScience 29, no. 5 (1994): 573g—574. http://dx.doi.org/10.21273/hortsci.29.5.573g.

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Systemic acquired resistance is a broad spectrum inducible defense response that is associated with the expression of a set of genes (SAR genes). Expression of one of these genes (PR-1a from tobacco) in transgenic tobacco confers increased tolerance to two oomycete pathogens. A direct role for salicylic acid (SA) in signaling SAR has been established in tobacco by analysis of transgenic tobacco expressing salicylate hydroxylase (SAH, an enzyme that inactivates SA by conversion to catechol). Tobacco plants that express SAH are blocked in the accumulation of SA and the development of SAR when re

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Xun, Pengwei, Chuanpeng Zhou, Xiaolin Huang, et al. "Effects of Dietary Sodium Acetate on Growth Performance, Fillet Quality, Plasma Biochemistry, and Immune Function of Juvenile Golden Pompano (Trachinotus ovatus)." Aquaculture Nutrition 2022 (February 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/9074549.

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Six isonitrongenous and isolipidic diets were formulated to feed 360 fish (mean initial body weight: 6.06 ± 0.02 g) with graded levels of sodium acetate (SA1 (0), SA2 (250 mg/kg), SA3 (500 mg/kg), SA4 (1000 mg/kg), SA5 (2000 mg/kg), and SA6 (4000 mg/kg)) for 8 weeks. The results revealed that weight gain rate, specific growth rate, and feed intake of golden pompano were significantly increased in SA3 and SA4 treatments ( p < 0.05 ). Dietary SA level significantly improved lipid contents and gumminess of muscle ( p < 0.05 ). Supplement levels of dietary SA significantly influenced plasma

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IRIE, HARUYUKI, and KEI TOKITA. "SPECIES-AREA RELATIONSHIP FOR POWER-LAW SPECIES ABUNDANCE DISTRIBUTION." International Journal of Biomathematics 05, no. 03 (2012): 1260014. http://dx.doi.org/10.1142/s1793524512600145.

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We studied the mathematical relations between species abundance distributions (SADs) and species-area relationships (SARs) and found that a power-law SAR can be generally derived from a power-law SAD without a special assumption such as the "canonical hypothesis". In the present analysis, an SAR-exponent is obtained as a function of an SAD-exponent for a finite number of species. We also studied the inverse problem, from SARs to SADs, and found that a power-SAD can be derived from a power-SAR under the condition that the functional form of the corresponding SAD is invariant for changes in the

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Li, Yu, Yuanzhi Zhang, Zifeng Yuan, Huaqiu Guo, Hongyuan Pan, and Jingjing Guo. "Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data." Sustainability 10, no. 12 (2018): 4408. http://dx.doi.org/10.3390/su10124408.

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As a major marine pollution source, oil spills largely threaten the sustainability of the coastal environment. Polarimetric synthetic aperture radar remote sensing has become a promising approach for marine oil spill detection since it could effectively separate crude oil and biogenic look-alikes. However, on the sea surface, the signal to noise ratio of Synthetic Aperture Radar (SAR) backscatter is usually low, especially for cross-polarized channels. In practice, it is necessary to combine the refined detail of slick-sea boundary derived from the co-polarized channel and the highly accurate

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11

Antunes, Maria, Custódia Gago, Adriana Guerreiro, et al. "Nutritional Characterization and Storage Ability of Salicornia ramosissima and Sarcocornia perennis for Fresh Vegetable Salads." Horticulturae 7, no. 1 (2021): 6. http://dx.doi.org/10.3390/horticulturae7010006.

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The aim of this work was to study the potential of two halophytes for fresh salads. Sarcocornia perennis (SAR) and Salicornia ramosissima (SAL) plant tips were harvested in May and July, and stored at 4 °C for 14 days. At harvest, mineral analyses (Na, K, Mg, Ca, P, N, Fe, Zn, Cu, Pb and Cd), chlorophyll content, protein, β-carotene and ascorbic acid were performed. Color (CIELab), phenolics, antioxidant activity and microbial contamination were measured at harvest and after 14 days storage at 4 °C, and a taste panel evaluated the products. SAL had generally slightly higher values of vitamin C

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Antunes, Maria Dulce, Custódia Gago, Adriana Guerreiro, et al. "Nutritional Characterization and Storage Ability of Salicornia ramosissima and Sarcocornia perennis for Fresh Vegetable Salads." Horticulturae 7, no. 1 (2021): 6. http://dx.doi.org/10.3390/horticulturae7010006.

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The aim of this work was to study the potential of two halophytes for fresh salads. Sarcocornia perennis (SAR) and Salicornia ramosissima (SAL) plant tips were harvested in May and July, and stored at 4 °C for 14 days. At harvest, mineral analyses (Na, K, Mg, Ca, P, N, Fe, Zn, Cu, Pb and Cd), chlorophyll content, protein, β-carotene and ascorbic acid were performed. Color (CIELab), phenolics, antioxidant activity and microbial contamination were measured at harvest and after 14 days storage at 4 °C, and a taste panel evaluated the products. SAL had generally slightly higher values of vitamin C

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13

Kipp, Michael, Frank Göhring, Thorsten Ostendorp, et al. "SAF-Box, a Conserved Protein Domain That Specifically Recognizes Scaffold Attachment Region DNA." Molecular and Cellular Biology 20, no. 20 (2000): 7480–89. http://dx.doi.org/10.1128/mcb.20.20.7480-7489.2000.

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ABSTRACT SARs (scaffold attachment regions) are candidate DNA elements for partitioning eukaryotic genomes into independent chromatin loops by attaching DNA to proteins of a nuclear scaffold or matrix. The interaction of SARs with the nuclear scaffold is evolutionarily conserved and appears to be due to specific DNA binding proteins that recognize SARs by a mechanism not yet understood. We describe a novel, evolutionarily conserved protein domain that specifically binds to SARs but is not related to SAR binding motifs of other proteins. This domain was first identified in human scaffold attach

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Chen, Mingmin, Anurag Singh, Fang Xiao, et al. "Gene ablation for PEPT1 in mice abolishes the effects of dipeptides on small intestinal fluid absorption, short-circuit current, and intracellular pH." American Journal of Physiology-Gastrointestinal and Liver Physiology 299, no. 1 (2010): G265—G274. http://dx.doi.org/10.1152/ajpgi.00055.2010.

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PEPT1 function in mouse intestine has not been assessed by means of electrophysiology and methods to assess its role in intracellular pH and fluid homeostasis. Therefore, the effects of the dipeptide glycilsarcosin (Gly-Sar) on jejunal fluid absorption and villous enterocyte intracellular pH (pHi) in vivo, as well as on enterocyte[14C]Gly-Sar uptake, short-circuit current ( Isc) response, and enterocyte pHi in vitro were determined in wild-type and PEPT1-deficient mice and in mice lacking PEPT1. Immunohistochemistry for PEPT1 failed to detect any protein in enterocyte apical membranes in Slc15

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Minami, H., H. Daniel, E. L. Morse, and S. A. Adibi. "Oligopeptides: mechanism of renal clearance depends on molecular structure." American Journal of Physiology-Renal Physiology 263, no. 1 (1992): F109—F115. http://dx.doi.org/10.1152/ajprenal.1992.263.1.f109.

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We have investigated the relative contribution of hydrolysis, intact transport and urinary excretion to the renal clearance of Gly-Sar, Gly-Sar-Sar, and Gly-Gly-Sar in fed and starved rats. The results obtained from isolated kidney perfusion studies are summarized as follows: 1) clearance was fastest for Gly-Gly-Sar and slowest for Gly-Sar-Sar, 2) urinary excretion of Gly-Sar-Sar exceeded that of Gly-Gly-Sar or Gly-Sar, 3) there was accumulation of products of hydrolysis of Gly-Gly-Sar in the perfusate but not of Gly-Sar or Gly-Sar-Sar, 4) isolated brush-border and basolateral membranes of ren

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Xia, Weijie, Yuanyuan Qi, Linlin Huang, and Xue Jin. "Missile-Borne SAR Raw Signal Simulation for Maneuvering Target." International Journal of Antennas and Propagation 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2598024.

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SAR raw signal simulation under the case of maneuver and high-speed has been a challenging and urgent work recently. In this paper, a new method based on one-dimensional fast Fourier transform (1DFFT) algorithm is presented for raw signal simulation of maneuvering target for missile-borne SAR. Firstly, SAR time-domain raw signal model is given and an effective Range Frequency Azimuth Time (RFAT) algorithm based on 1DFFT is derived. In this algorithm, the “Stop and Go” (SaG) model is adopted and the wide radar scattering characteristic of target is taken into account. Furthermore, the “Inner Pu

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Machado, Leandro S., Felipe F. dos Santos, Lídia M. M. dos Santos, et al. "Transmission, serologic and tissue responses in chickens vaccinated with Mycoplasma gallisepticum F strain (MG-F)." Pesquisa Veterinária Brasileira 36, no. 5 (2016): 401–4. http://dx.doi.org/10.1590/s0100-736x2016000500008.

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Abstract: MG-F protects chickens from MG Mycoplasmosis and monitoring is done by serology (SAR and ELISA) and PCR. Histopathology is used to evaluate bird response to MG. This study evaluated MG-F profile vaccination in SPF chicken. This trial used 100 chickens, being 40 unvaccinated (G1), 40 eye-drop vaccinated at 8 weeks of age with MG-F ( Ceva Animal Health , São Paulo , SP , Brazil ) (G2) and 20 immunized by contact (G3) . Samples were obtained on the 8th, 12th, 15th, 18th, 20th and 24th week for SAR, ELISA and PCR. Fragments of trachea and air sac, for microscopy, were got after necropsie

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An, Nguyễn Hùng, and Nguyễn Tiến Phát. "A COMBINATION OF NEIGHBORHOOD BASED RATIO OPERATOR AND CONVOLUTIONAL WAVELET NEURAL NETWORKS FOR CHANGE DETECTION IN MULTI-TEMPORAL SYNTHETIC APERTURE RADAR IMAGES." TNU Journal of Science and Technology 226, no. 06 (2021): 97–104. http://dx.doi.org/10.34238/tnu-jst.4476.

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Phát hiện sự thay đổi trong ảnh SAR đa thời gian được ứng dụng rộng rãi trong các ứng dụng thực tế về hoạt động quản lý kiểm tra, giám sát tài nguyên trên đất liền và trên biển với quy mô rộng lớn. Có rất nhiều thuật toán phát hiện sự thay đổi sử dụng hai ảnh SAR đa thời gian. Nguyên tắc phổ biến của chúng là thực hiện phân tích ảnh sai khác được tạo ra từ toán tử tỷ số của hai ảnh SAR đa thời gian nhằm phát hiện các sự thay đổi giữa chúng. Để cải thiện độ chính xác phát hiện, toán tử tỷ số và các phiên bản cải tiến của toán tử này thường được sử dụng kết hợp với các phương pháp xử lý tinh hơn

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Zhou, Fan, Hua Chen, and Peng Zhang. "Performance Evaluation of Maritime Search and Rescue Missions Using Automatic Identification System Data." Journal of Navigation 73, no. 6 (2020): 1237–46. http://dx.doi.org/10.1017/s0373463320000223.

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In maritime search and rescue (SAR), commanders need to understand the task execution efficiency of each SAR unit in real time to improve the overall efficiency of SAR efforts. This study proposes a method to evaluate the progress of maritime SAR missions using automatic identification system (AIS) data. First, the positioning accuracy of the AIS data was improved according to the relationship between position, speed, and course. Second, the historical track of the SAR ship was used to generate the SAR completion area based on a line buffer algorithm. The SAR completion area and SAR mission ar

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Abdi, Mukhlis, Idiannor Mahyudin, Fadly H. Yusran, and Achmad Syamsu Hidayat. "EFEKTIVITAS METODE COVERING DALAM PENGELOLAN AIR ASAM TAMBANG DI PT. BINUANG MITRA BERSAMA BLOK DUA, KABUPATEN TAPIN, KALIMANTAN SELATAN." EnviroScienteae 18, no. 1 (2022): 1. http://dx.doi.org/10.20527/es.v18i1.12973.

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The formation of AMW is basically unavoidable in mining activities, AMW can be formed in pit and disposal area that are contaminated with potential acid forming material (PAF). The magnitude of the potential impact that AMW can have on mining activities certainly encourages every business actor to conduct a study on various preventive measures that are effectively implemented in AMW management, one of which is covering method. This thesis research aims to analyze the preventive covering method in the management of AMW and its effectiveness in meeting quality standards of liquid waste in coal m

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Mamat, Rabiei, Tutut Herawan, and Mustafa Mat Deris. "SAR." International Journal of Information Retrieval Research 1, no. 4 (2011): 38–52. http://dx.doi.org/10.4018/ijirr.2011100103.

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Soft-set theory proposed by Molodstov is a general mathematic tool for dealing with uncertainty. Recently, several algorithms have been proposed for decision making using soft-set theory. However, these algorithms still concern on Boolean-valued information system. In this paper, Support Attribute Representative (SAR), a soft-set based technique for decision making in categorical-valued information system is proposed. The proposed technique has been tested on three datasets to select the best partitioning attribute. Furthermore, two UCI benchmark datasets are used to elaborate the performance

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Elgamel, Sherif A., and Mohamed Samir Abdel-Latif. "Synthetic Aperture Radar Active Decoy." Advances in Military Technology 17, no. 1 (2022): 47–62. http://dx.doi.org/10.3849/aimt.01520.

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Synthetic aperture radar (SAR) has been widely involved in military reconnaissance and detection of moving targets. SAR active decoy can generate deceptive jamming signal and it can severely affect the content of SAR focused image. SAR range Doppler algorithm (RDA) is considered as one of the most common algorithms utilized in the image formation processor (IFP) in SAR sensors. In this paper, the inverse RDA (IRDA) deception jamming technique and its evaluation criteria on SAR are demonstrated. Mathematical formulations for SAR RDA with and without deception jamming are presented. Matlab simul

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Song, Lihao, Bowen Bai, Xiaoping Li, et al. "Analysis of Hypersonic Platform-Borne SAR Imaging: A Physical Perspective." Remote Sensing 13, no. 23 (2021): 4943. http://dx.doi.org/10.3390/rs13234943.

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The usage of a hypersonic platform for remote sensing application has promising prospects, especially for hypersonic platform-borne synthetic aperture radar (SAR) imaging. However, the high-speed of hypersonic platform will lead to extreme friction between the platform and air, which will cause the ionization of air. The ionized gas forms the plasma sheath wrapped around the hypersonic platform. The plasma sheath will severely affect the propagation of SAR signal and further affect the SAR imaging. Therefore, hypersonic platform-borne SAR imaging should be studied from a physical perspective.

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Kang, Young-Geun, Chul-Ki Kim, and Seong-Ook Park. "Ocean Image Formation Algorithm Using Altimeter Data for Next Generation Satellite SAR." Journal of Electromagnetic Engineering and Science 22, no. 2 (2022): 85–94. http://dx.doi.org/10.26866/jees.2022.2.r.64.

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Synthetic aperture radar (SAR) obtains two-dimensional images of the Earth’s surface. Spatial resolution is one of the most important factors in evaluating SAR performance. Therefore, high operating frequencies are preferred for obtaining high resolution images. In fact, Ku-band and Ka-band are used in the automobile SAR (Auto-SAR) and the aircraft SAR (Airborne-SAR). However, the operating frequencies of the satellite SAR (Spaceborne-SAR) are limited to the X-band because of the wide Doppler frequency band caused by the satellite’s high velocity. To overcome this frequency limitation in satel

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Awujoola, Olalekan J., PO Odion, AE Evwiekpaefe, and GN Obunadike. "Multi-Class Dual- Stream Convolutional Neural Network for Synthetic Aperture Radar Automatic Target Recognition of Ground Military Vehicle." Journal of Scientific Research 66, no. 04 (2022): 107–13. http://dx.doi.org/10.37398/jsr.2022.660415.

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Synthetic Aperture Radar (SAR) target classification is one of the largest branches of SAR image analysis. Despite the remarkable achievements of deep learning-based SAR target prediction algorithms, current object recognition algorithms are limited in terms of military applications. Acquisition and labeling of SAR target images are time-consuming and cumbersome. Obtaining adequate training data is also challenging in many cases. Deep learning-based models are always susceptible to overfitting because of insufficient training data. This limitation prevents them from being widely used to classi

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Percival, Glynn. "Induction of Systemic Acquired Disease Resistance in Plants: Potential Implications for Disease Management in Urban Forestry." Arboriculture & Urban Forestry 27, no. 4 (2001): 181–92. http://dx.doi.org/10.48044/jauf.2001.020.

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Systemic acquired resistance (SAR) is the phenomenon whereby a plant's own defense mechanisms are induced by prior treatment with either a biological or chemical agent. The concept of SAR has been widely recognized and studied for the past 100 years in relation to increasing resistance to fungal, bacterial, and viral pathogens of economically important crop plants. The use of SAR as part of a disease management strategy in relation to urban forestry has received little scientific investigation despite offering some potential for tree pathogen control. The objectives of this paper are to discus

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Ozawa, Taku, Yuji Himematsu, Akira Nohmi, and Masanori Miyawaki. "Development of Portable SAR for Detection of Volcano Deformation: Application of SAR Interferometry to the Repeated Observation Data." Journal of Disaster Research 17, no. 5 (2022): 609–19. http://dx.doi.org/10.20965/jdr.2022.p0609.

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Synthetic aperture radar (SAR), which transmits radar waves from the ground, can detect crustal deformation with high spatial and temporal resolution. To obtain crustal deformation data useful for evaluating volcanic activity, we are developing a portable SAR that can conduct repeated observations without being fixed to the site under Project B of the Integrated Program for Next Generation Volcano Research and Human Resource Development. We named this SAR sensor: SAR for crustal deformation with portable equipment (SCOPE). SCOPE detects crustal deformation over a wide area by repeating observa

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Lee, In-Hyeok, Kyung-Min Lee, Min-Gon Cho, Young-Ju Park, Sang-Won Kim, and Kyung-Tae Kim. "SAR Noise Jamming Performance Evaluation Using SAR-ATR." Journal of Korean Institute of Electromagnetic Engineering and Science 34, no. 7 (2023): 581–90. http://dx.doi.org/10.5515/kjkiees.2023.34.7.581.

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Lin, Yueguan, Yida Fan, Chenglong Jiang, Zhiqiang Wang, and Weizeng Shao. "MIMO SAR Using Orthogonal Coding: Design, Performance Analysis, and Verifications." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/629506.

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Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is a promising technology in radar imaging which provides a better balance of azimuth resolution and swath width compared with traditional single-input single-output (SISO) SAR. It has the potential to help scientists and engineers to design ambitious SAR system with higher resolution and wider swath. This paper studies the principle of MIMO SAR using orthogonal coding waveform and then provides the performance analysis in resolution and swath width. By using orthogonal coding waveform, lower channel interference is obtained,

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Howell, Stephen E. L., Mike Brady, and Alexander S. Komarov. "Generating large-scale sea ice motion from Sentinel-1 and the RADARSAT Constellation Mission using the Environment and Climate Change Canada automated sea ice tracking system." Cryosphere 16, no. 3 (2022): 1125–39. http://dx.doi.org/10.5194/tc-16-1125-2022.

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Abstract. As Arctic sea ice extent continues to decline, remote sensing observations are becoming even more vital for the monitoring and understanding of sea ice. Recently, the sea ice community has entered a new era of synthetic aperture radar (SAR) satellites operating at C-band with the launch of Sentinel-1A in 2014 and Sentinel-1B (S1) in 2016 and the RADARSAT Constellation Mission (RCM) in 2019. These missions represent five spaceborne SAR sensors that together routinely cover the pan-Arctic sea ice domain. Here, we describe, apply, and validate the Environment and Climate Change Canada a

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Li, De Jun, He Nan Wu, Guan Zhong Li, Guang Yang, Li Cheng, and Xiao Rui Sun. "A New Method of SAR Airdrome Image Edge Detection Based on Image Character." Applied Mechanics and Materials 347-350 (August 2013): 3560–64. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3560.

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SAR image edge detection is one of the basic contents for SAR image processing and analysis, one of SAR airdrome image edge detection methods was advanced in the paper based on the basic character of SAR airdrome image through imaging theory and target statistical trait, SAR image pretreatment was realized by synchronously using median filter, image division and mathematics morphologic, at last SAR image was edge detected using Canny arithmetic operators.

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Sun, Yuchuang, Kaijia Yan, and Wangzhe Li. "CycleGAN-Based SAR-Optical Image Fusion for Target Recognition." Remote Sensing 15, no. 23 (2023): 5569. http://dx.doi.org/10.3390/rs15235569.

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The efficiency and accuracy of target recognition in synthetic aperture radar (SAR) imagery have seen significant progress lately, stemming from the encouraging advancements of automatic target recognition (ATR) technology based on deep learning. However, the development of a deep learning-based SAR ATR algorithm still faces two critical challenges: the difficulty of feature extraction caused by the unique nature of SAR imagery and the scarcity of datasets caused by the high acquisition cost. Due to its desirable image nature and extremely low acquisition cost, the simulated optical target ima

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Huang, Meiyu, Yao Xu, Lixin Qian, et al. "A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework." Space: Science & Technology 2021 (October 12, 2021): 1–10. http://dx.doi.org/10.34133/2021/9841456.

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The current interpretation technology of remote sensing images is mainly focused on single-modal data, which cannot fully utilize the complementary and correlated information of multimodal data with heterogeneous characteristics, especially for synthetic aperture radar (SAR) data and optical imagery. To solve this problem, we propose a bridge neural network- (BNN-) based optical-SAR image joint intelligent interpretation framework, optimizing the feature correlation between optical and SAR images through optical-SAR matching tasks. It adopts BNN to effectively improve the capability of common

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Chan, Yee Kit, Yung Chong Lee, and Voon Chet Koo. "Design and Implementation of Synthetic Aperture Radar (SAR) Field-Programmable Gate Array (FPGA)-Based Processor." Applied Sciences 12, no. 4 (2022): 1808. http://dx.doi.org/10.3390/app12041808.

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Synthetic aperture radar (SAR) is a unique imaging radar system that is capable of obtaining high-resolution images by using signal-processing techniques while operating in all weather and in the absence of a light source. The potential of SAR in a wide range of applications has led to new challenges in digital SAR processor design. On-board storage of SAR raw data is often not practical for real-time applications. The design of digital SAR processors is always restricted by the available space of the carrier system, data transfer rate, payload capacity and on-board power supplies. As reported

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Ji, Penghui, Shiqi Xing, Dahai Dai, and Bo Pang. "Deceptive Targets Generation Simulation Against Multichannel SAR." Electronics 9, no. 4 (2020): 597. http://dx.doi.org/10.3390/electronics9040597.

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Traditional synthetic aperture radar (SAR) deceptive jamming can effectively generate deceptive scenes or false targets in SAR images. However, these false targets or scenes can be easily distinguished or eliminated by the multichannel SAR system. To interfere with the multichannel SAR, we first analyzed the results of SAR deceptive jamming generated by one transponder and two transponders against three-channel SAR- ground moving target indication (GMTI). Then, we propose a new deceptive jamming method against three-channel SAR-GMTI by using three synergetic transponders. By modulating each tr

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Kim, Seok, Chan-Mi Song, Seung-Hun Lee, Sung-Chan Song, and Hyun-Ung Oh. "Design and Performance of X-Band SAR Payload for 80 kg Class Flat-Panel-Type Microsatellite Based on Active Phased Array Antenna." Aerospace 9, no. 4 (2022): 213. http://dx.doi.org/10.3390/aerospace9040213.

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The small synthetic aperture radar (SAR) technology experimental project (S-STEP) mission aims to develop an innovative spaceborne SAR microsatellite as a constellation of 32 microsatellites featuring a high-resolution stripmap mode of 1 m. The S-STEP is a spaceborne SAR microsatellite technology demonstration program in which innovative approaches have been proposed and investigated for SAR payload system designs for improving the development speed, affordability, size and weight parameters, and quality of SAR satellite systems. In this study, the major design approach includes a bus–payload

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Chen, Zhanye, Shiyang Tang, Yi Ren, et al. "Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges, and Trends." Remote Sensing 14, no. 13 (2022): 2983. http://dx.doi.org/10.3390/rs14132983.

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The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and gene

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Ao, Dongyang, Corneliu Octavian Dumitru, Gottfried Schwarz, and Mihai Datcu. "Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X." Remote Sensing 10, no. 10 (2018): 1597. http://dx.doi.org/10.3390/rs10101597.

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With more and more SAR applications, the demand for enhanced high-quality SAR images has increased considerably. However, high-quality SAR images entail high costs, due to the limitations of current SAR devices and their image processing resources. To improve the quality of SAR images and to reduce the costs of their generation, we propose a Dialectical Generative Adversarial Network (Dialectical GAN) to generate high-quality SAR images. This method is based on the analysis of hierarchical SAR information and the “dialectical” structure of GAN frameworks. As a demonstration, a typical example

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Liang, Wei, Tengfei Zhang, Wenhui Diao, et al. "SAR Target Classification Based on Sample Spectral Regularization." Remote Sensing 12, no. 21 (2020): 3628. http://dx.doi.org/10.3390/rs12213628.

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Synthetic Aperture Radar (SAR) target classification is an important branch of SAR image interpretation. The deep learning based SAR target classification algorithms have made remarkable achievements. But the acquisition and annotation of SAR target images are time-consuming and laborious, and it is difficult to obtain sufficient training data in many cases. The insufficient training data can make deep learning based models suffering from over-fitting, which will severely limit their wide application in SAR target classification. Motivated by the above problem, this paper employs transfer-lear

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Hu, Liping, Canming Yao, Jian Huang, Jinfan Liu, and Guanyong Wang. "Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training." International Journal of Antennas and Propagation 2022 (September 21, 2022): 1–15. http://dx.doi.org/10.1155/2022/7537732.

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Sufficient synthetic aperture radar (SAR) data is the key element in achieving excellent target recognition performance for most deep learning algorithms. It is unrealistic to obtain sufficient SAR data from the actual measurements, so SAR simulation based on electromagnetic scattering modeling has become an effective way to obtain sufficient samples. Simulated and measured SAR images are nonhomologous data. Due to the fact that the target geometric model of SAR simulation is not inevitably consistent with the real object, the SAR sensor model in SAR simulation may be different from the actual

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Musyarofah, Hidayatul, Hasbi Yasin, and Tarno Tarno. "ROBUST SPATIAL AUTOREGRESSIVE UNTUK PEMODELAN ANGKA HARAPAN HIDUP PROVINSI JAWA TIMUR." Jurnal Gaussian 9, no. 1 (2020): 26–40. http://dx.doi.org/10.14710/j.gauss.v9i1.27521.

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Spatial regression analysis is regression method used for type of data has a spatial effect. Spatial regression showing the presence of spatial effects on the response variable (Y) is a Spatial Autoregressive (SAR). Outlier often found in research spatial data. The outlier is called the spatial outliers. The analysis can be used to handle outliers in general is Robust Regression. There are several estimator that can be used in which the estimator Robust Regression S, M, MM and LTS. Meanwhile, Robust Regression were used to handle spatial outlier is a combination of SAR and Regression Robust me

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Singh, Vijayata, Shweta Roy, Mrunmay Kumar Giri, et al. "Arabidopsis thaliana FLOWERING LOCUS D Is Required for Systemic Acquired Resistance." Molecular Plant-Microbe Interactions® 26, no. 9 (2013): 1079–88. http://dx.doi.org/10.1094/mpmi-04-13-0096-r.

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Localized infection in plants often induces systemic acquired resistance (SAR), which provides long-term protection against subsequent infections. A signal originating in the SAR-inducing organ is transported to the distal organs, where it stimulates salicylic acid (SA) accumulation and priming, a mechanism that results in more robust activation of defenses in response to subsequent pathogen infection. In recent years, several metabolites that promote long-distance SAR signaling have been identified. However, the mechanism or mechanisms by which plants perceive and respond to the SAR signals a

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Dong, Lei, Niangang Jiao, Tingtao Zhang, Fangjian Liu, and Hongjian You. "GPU Accelerated Processing Method for Feature Point Extraction and Matching in Satellite SAR Images." Applied Sciences 14, no. 4 (2024): 1528. http://dx.doi.org/10.3390/app14041528.

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This paper addresses the challenge of extracting feature points and image matching in Synthetic Aperture Radar (SAR) satellite images, particularly focusing on large-scale embedding. The widely used Scale Invariant Transform (SIFT) algorithm, successful in computer vision and optical satellite image matching, faces challenges when applied to satellite SAR images due to the presence of speckle noise, leading to increased matching errors. The SAR–SIFT method is explored and analyzed in-depth, considering the unique characteristics of satellite SAR images. To enhance the efficiency of matching id

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Lim, Jung-Hwan, Jae Wook Lee, Taek-Kyung Lee, Sang-Burm Ryu, Hyeon-Cheol Lee, and Sang-Gyu Lee. "Optimal Design of the Reflector Antenna to Improve Performance of C-Band Quad-Pol ScanSAR Systems." Journal of Electromagnetic Engineering and Science 20, no. 2 (2020): 155–57. http://dx.doi.org/10.26866/jees.2020.20.2.155.

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The performance of synthetic aperture radar (SAR) antenna determines the quality of images obtained from the spaceborne SAR system, and thus, SAR antenna should be designed to satisfy the target performance of SAR system. The performance indicators of a SAR system, such as ambiguity-to-signal ratio and resolution, also depend on the SAR operation mode. Therefore, it is important to consider the operation mode when designing an SAR antenna. In this paper, we analyzed the SAR antenna’s effect on ScanSAR (scanning synthetic aperture radar) which is a representative wide-swath mode and its quadrat

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Zhang, Yanyan, Sheng Chang, Robert Wang, Peng Li, Yongwei Zhang, and Yunkai Deng. "A Novel Weighted Amplitude Modulation (WAM) System for Ambiguity Suppression of Spaceborne Hybrid Quad-Pol SAR." Remote Sensing 14, no. 1 (2021): 155. http://dx.doi.org/10.3390/rs14010155.

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Quadrature-polarimetric synthetic aperture radar (quad-pol SAR) has extensive applications, including climate zones classification, extraction of surface roughness, soil moisture mapping, moving target indication, and rice mapping. Hybrid quad-pol SAR ameliorates the range ambiguity performance of conventional quad-pol SAR. However, the azimuth ambiguity of its cross-polarized (cross-pol) echo signals is serious, limiting the swath width of SAR. Therefore, this paper proposes a spaceborne weighted amplitude modulation (WAM) full-polarimetric (full-pol) SAR system, and it can suppress the azimu

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Wei, Shixin, Bing Han, Jiayuan Shen, Jiaxin Wan, Yugang Feng, and Qianyue Xue. "Multi-Aspect Interpolation Method for SAR Complex Images of Typical Aircraft Target Using Multi-Aspect Scattering Information Complex Generative Adversarial Network." Remote Sensing 17, no. 7 (2025): 1143. https://doi.org/10.3390/rs17071143.

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Due to the huge differences in Synthetic Aperture Radar (SAR) image features of the same target under different observing aspects, the demand for constructing multi-aspect SAR datasets of various typical targets is becoming increasingly urgent with the expansion of SAR technology application fields. Meanwhile, multi-aspect interpolation techniques for constructing multi-aspect SAR datasets, based on electromagnetic scattering features and on Generative Adversarial Networks (GANs), have some shortcomings that are difficult to address. The former method provide descriptions of the target scatter

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Khose, Suyog Balasaheb, Sum Tateh, Shashi Bhushan Kumar, et al. "Role of Synthetic Aperture Radar for Agriculture: Monitoring and Decision Support." Journal of Experimental Agriculture International 47, no. 5 (2025): 130–51. https://doi.org/10.9734/jeai/2025/v47i53404.

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Monitoring crop growth is crucial for sustainable food production, land use efficiency, and agricultural policy. Remote sensing approaches using radar and optical sensors have become significant for obtaining crop-related information. Among remote sensing technologies, Synthetic Aperture Radar (SAR) has emerged as a transformative tool for agricultural monitoring and decision support, owing to its unique ability to provide high-resolution, all-weather, day-and-night imaging. The SAR technology enables precise crop assessment, acreage mapping, disaster damage evaluation, land classification, an

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Khalil Ahmed. "GROWTH PERORMANCE OF TAMARIND (Tamarindus indica L.) SEEDLINGS TO DIFFERENT LEVELS OF SALINITY AND SODICITY." Agricultural Sciences Journal 5, no. 2 (2023): 8–18. http://dx.doi.org/10.56520/asj.v5i2.176.

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Agroforestry is a viable land-use option of salt affected soils which ensure the remunerative use of this valuable resource. A two years pot study was carried out to evaluate salinity tolerance of tamarind fruit plant against different levels of salinity and sodicity. Treatments included were: T1 = ECe, 1.17 dS m-1 + SAR, 10.87, T2 = ECe, 6 dS m-1 + SAR, 25, T3 = ECe, 6 dS m-1 + SAR, 35, T4 = ECe, 6 dS m-1 + SAR, 45, T5 = ECe, 8 dS m-1 + SAR, 25, T6 = ECe, 8 dS m-1 + SAR, 35, T7 = ECe, 8 dS m-1 + SAR, 45, T8 = ECe, 10 dS m-1 + SAR, 25, T9 = ECe, 10 dS m-1 + SAR, 35, T10 = ECe, 10 dS m-1 + SAR,

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Wakabayashi, Hiroyuki, Kazuyoshi Hirano, Fumihiko Nishio, Masaaki Aota, and Shuhei Takahashi. "A study of sea ice in the Sea of Okhotsk with SAR data." Polar Record 31, no. 178 (1995): 305–14. http://dx.doi.org/10.1017/s0032247400013851.

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AbstractThe ‘Okhotsk Sea Ice Observation Experiment’ 93' was carried out in February 1993 in the southern part of the Sea of Okhotsk and in Lake Saroma, Japan. The aim of the experiment was to investigate how effectively Synthetic Aperture Radar (SAR) can monitor sea ice in this region. Satellite data from JERS-1/SAR (J-SAR), ERS-1/SAR CESAR), and SPOT-2/HRV, as well as data from airborne sensors and ground-truth data, were utilized. From the overall analysis of those data, several results were obtained. First, the range of backscatter of the ice cover on Lake Saroma was determined, as well as

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Dong, Lei, Tingtao Zhang, Fangjian Liu, Rui Liu, and Hongjian You. "GPU Acceleration for SAR Satellite Image Ortho-Rectification." Remote Sensing 16, no. 7 (2024): 1301. http://dx.doi.org/10.3390/rs16071301.

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Synthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, significantly reducing the efficiency of SAR satellite image mosaic. This paper thoroughly analyzes two geometric positioning models for SAR images. In order to address the high computation time of pixel-by-pixel ortho-rectification in SAR satellite images, a GPU-accelerated pixel-by-pixel correction method based on a rational polynomial coefficients

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