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Journal articles on the topic 'Polarimetric Synthetic Aperture Radar'

Author: Grafiati

Published: 25 May 2024

Last updated: 30 July 2025

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1

Raney, R. Keith. "Hybrid Dual-Polarization Synthetic Aperture Radar." Remote Sensing 11, no. 13 (2019): 1521. http://dx.doi.org/10.3390/rs11131521.

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Compact polarimetry for a synthetic aperture radar (SAR) system is reviewed. Compact polarimetry (CP) is intended to provide useful polarimetric image classifications while avoiding the disadvantages of space-based quadrature-polarimetric (quad-pol) SARs. Two CP approaches are briefly described, π/4 and circular. A third form, hybrid compact polarimetry (HCP) has emerged as the preferred embodiment of compact polarimetry. HCP transmits circular polarization and receives on two orthogonal linear polarizations. When seen through its associated data processing and image classification algorithms,

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Novak, L. M., and C. M. Netishen. "Polarimetric synthetic aperture radar imaging." International Journal of Imaging Systems and Technology 4, no. 4 (1992): 306–18. http://dx.doi.org/10.1002/ima.1850040410.

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Thakur, P. K., R. D. Garg, S. P. Aggarwal, P. K. Garg, and J. Shi. "Snow density retrieval using SAR data: algorithm validation and applications in part of North Western Himalaya." Cryosphere Discussions 7, no. 3 (2013): 1927–60. http://dx.doi.org/10.5194/tcd-7-1927-2013.

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Abstract. The current study has been done using Polarimetric Synthetic Aperture Radar (SAR) data to estimate the dry snow density in Manali sub-basin of Beas River located in state of Himachal Pradesh, India. SAR data from Radarsat-2 (RS2), Environmental Satellite (ENVISAT), Advanced Synthetic Aperture Radar (ASAR) and Advanced Land Observing Satellite (ALOS)-Phased Array type L-band Synthetic Aperture Radar (PALSAR) have been used. The SAR based inversion models were implemented separately for fully polarimetric RS2, PALSAR and dual polarimetric ASAR Alternate polarization System (APS) datase

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El Assad, S., X. Morin, D. Barba, and V. Slavova. "Compression of Polarimetric Synthetic Aperture Radar Data." Progress In Electromagnetics Research 39 (2003): 125–45. http://dx.doi.org/10.2528/pier02053002.

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Rignot, E., and R. Chellappa. "Segmentation of polarimetric synthetic aperture radar data." IEEE Transactions on Image Processing 1, no. 3 (1992): 281–300. http://dx.doi.org/10.1109/83.148603.

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Adil, Muhammad, Andrea Buono, Ferdinando Nunziata, Emanuele Ferrentino, Domenico Velotto, and Maurizio Migliaccio. "On the Effects of the Incidence Angle on the L-Band Multi-Polarisation Scattering of a Small Ship." Remote Sensing 14, no. 22 (2022): 5813. http://dx.doi.org/10.3390/rs14225813.

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The monitoring of ships is of paramount importance for ocean and coastal area surveillance. The synthetic aperture radar is shown to be a key sensor to provide effective and continuous observation of ships due to its unique imaging capabilities. When advanced synthetic aperture radar imaging systems are considered, the full scattering information is available that was demonstrated to be beneficial in developing improved ship detection and classification algorithms. Nonetheless, the capability of polarimetric synthetic aperture radar to observe marine vessels is significantly affected by severa

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Jiao, Yanan, Fengli Zhang, Xiaochen Liu, Zhiwei Huang, and Jingwen Yuan. "C-SAR/02 Satellite Polarimetric Calibration and Validation Based on Active Radar Calibrators." Remote Sensing 17, no. 2 (2025): 282. https://doi.org/10.3390/rs17020282.

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Quad-polarization synthetic aperture radar (SAR) satellites are important detection tools in Earth observation and remote sensing; in particular, they are of great significance for accurately interpreting radar data and inverting geophysical parameters. Polarimetric calibration is particularly critical to eliminate the effects of distortion in polarized SAR data. The C-SAR/02 satellite launched by China is an important part of the C-band synthetic aperture radar (SAR) constellation, and the quad-polarization strip I (QPSI) is an important imaging mode for its sea–land observation. The relevant

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Ramana, K. V., P. Srikanth, U. Deepika, and M. V. R. Sesha Sai. "Polarimetric Synthetic Aperture Radar data for Crop Cover Classification." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8 (November 27, 2014): 117–21. http://dx.doi.org/10.5194/isprsannals-ii-8-117-2014.

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The interest in crop inventory through the use of microwave sensors is on the rise owing to need for accurate crop forecast and the availability of multi polarization data. Till recently, the temporal amplitude data has been used for crop discrimination as well as acreage estimation. With the availability of dual and quadpol data, the differential response of crop geometry at various crop growth stages to various polarizations is being exploited for discrimination and classification of crops. An attempt has been made in the current study with RISAT1 and Radarsat2 C-band single, dual, fully and

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Zhang, Jin, Hao Feng, Qingli Luo, Yu Li, Jujie Wei, and Jian Li. "Oil Spill Detection in Quad-Polarimetric SAR Images Using an Advanced Convolutional Neural Network Based on SuperPixel Model." Remote Sensing 12, no. 6 (2020): 944. http://dx.doi.org/10.3390/rs12060944.

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Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recognize oil spill areas from other look-alikes. In this paper we proposed an oil spill detection method based on convolutional neural network (CNN) and Simple Linear Iterative Clustering (SLIC) superpixel. Experiments were conducted on three Single Look Complex (SLC) quad-polarimetric SAR images obtained by Radarsat-2 and Spaceborne Imaging Radar-C/X-

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Phruksahiran, N., and M. Chandra. "Polarimetric radar cross section under SAR geometry." Advances in Radio Science 11 (July 4, 2013): 277–82. http://dx.doi.org/10.5194/ars-11-277-2013.

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Abstract. In this paper, the radar cross section of canonical scatter, with perfectly conducting surface, under the synthetic aperture radar geometry and polarized electromagnetic wave, has been considered and a new approach of polarized scattered electric field approximation for its evaluation has been developed.

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Nord, M. E., M. E. Nord, T. L. Ainsworth, Jong-Sen Lee, and N. J. S. Stacy. "Comparison of Compact Polarimetric Synthetic Aperture Radar Modes." IEEE Transactions on Geoscience and Remote Sensing 47, no. 1 (2009): 174–88. http://dx.doi.org/10.1109/tgrs.2008.2000925.

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12

Ertin, E., and L. C. Potter. "Polarimetric calibration for wideband synthetic aperture radar imaging." IEE Proceedings - Radar, Sonar and Navigation 145, no. 5 (1998): 275. http://dx.doi.org/10.1049/ip-rsn:19982224.

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Hauter, Andrew, Kuo Chu Chang, and Sherman Karp. "Polarimetric fusion for synthetic aperture radar target classification." Pattern Recognition 30, no. 5 (1997): 769–75. http://dx.doi.org/10.1016/s0031-3203(96)00099-4.

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Denbina, Michael, and Michael J. Collins. "Iceberg Detection Using Compact Polarimetric Synthetic Aperture Radar." Atmosphere-Ocean 50, no. 4 (2012): 437–46. http://dx.doi.org/10.1080/07055900.2012.733307.

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15

El Assad, S., X. Morin, D. Barba, and V. Slavova. "Compression of Polarimetric Synthetic Aperture Radar Data — Abstract." Journal of Electromagnetic Waves and Applications 17, no. 5 (2003): 747–48. http://dx.doi.org/10.1163/156939303322226419.

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He, Yijun, Hui Shen, and William Perrie. "Remote Sensing of Ocean Waves by Polarimetric SAR." Journal of Atmospheric and Oceanic Technology 23, no. 12 (2006): 1768–73. http://dx.doi.org/10.1175/jtech1948.1.

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Abstract A new method to measure ocean wave slope spectra using fully polarimetric synthetic aperture radar (POLSAR) data was developed without the need for a complex hydrodynamic modulation transform function. There is no explicit use of a hydrodynamic modulation transfer function. This function is not clearly known and is based on hydrodynamic assumptions. The method is different from those developed by Schuler and colleagues or Pottier but complements their methods. The results estimated from NASA Jet Propulsion Laboratory (JPL) Airborne Synthetic Aperture Radar (AIRSAR) C-band polarimetric

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Bai, Yanbing, Bruno Adriano, Erick Mas, and Shunichi Koshimura. "Identifying Building Damage Patterns in the 2016 Meinong, Taiwan Earthquake Using Post-Event Dual-Polarimetric ALOS-2/PALSAR-2 Imagery." Journal of Disaster Research 13, no. 2 (2018): 291–302. http://dx.doi.org/10.20965/jdr.2018.p0291.

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The 2016 magnitude 6.4 Meinong earthquake caused catastrophic damage to peoples lives and properties in Taiwan. Synthetic Aperture Radar remote sensing is a useful tool to rapidly grasp the near real-time building damage to areas affected by the earthquake. Previous studies employed X-band single polarized high-resolution synthetic aperture radar imagery to identify building damage. However, suitable X-band single polarized high-resolution synthetic aperture radar imagery is not always accessible. Therefore, this research applied L-band dual-polarimetric ALOS-2/PALSAR-2 data to analyze the rad

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Zhang, Biao, Yiru Lu, William Perrie, Guosheng Zhang, and Alexis Mouche. "Compact Polarimetry Synthetic Aperture Radar Ocean Wind Retrieval: Model Development and Validation." Journal of Atmospheric and Oceanic Technology 38, no. 4 (2021): 747–57. http://dx.doi.org/10.1175/jtech-d-20-0035.1.

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AbstractWe have developed C-band compact polarimetry geophysical model functions for RADARSAT Constellation Mission ocean surface wind speed retrieval. A total of 1594 RADARSAT-2 images acquired in quad-polarization SAR imaging mode were collocated with in situ buoy observations. This dataset is first used to simulate compact polarimetric data and to examine their dependencies on radar incidence angle and wind vectors. We find that right circular transmit, right circular receive (RR-pol) radar backscatters are less sensitive to incidence angles and wind directions but are more dependent on win

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Jaya, Laode M. Golok, Ketut Wikantika, Katmoko Ari Sambodo, and Armi Susandi. "Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)." Forum Geografi 31, no. 1 (2017): 99–107. http://dx.doi.org/10.23917/forgeo.v31i1.2518.

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This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical v

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Jung, Yoon, and Sang-Eun Park. "Comparative Analysis of Polarimetric SAR Calibration Methods." Remote Sensing 10, no. 12 (2018): 2060. http://dx.doi.org/10.3390/rs10122060.

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In the diverse applications of polarimetric Synthetic Aperture Radar (SAR) systems, it is a crucial to conduct polarimetric calibration, which aims to remove the radar system distortion effects prior to utilizing polarimetric SAR observations. The objective of this study is to evaluate the performance of different polarimetric calibration methods. Two widely used methods, the Van Zyl and Quegan methods, and one recently proposed method, such as the Villa method, have been selected among various calibration methods in literature. The selected methods have basic differences in their assumptions

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Shu, Sijing, Ji Yang, Wenlong Jing, Chuanxun Yang, and Jianping Wu. "Mangrove Extraction from Compact Polarimetric Synthetic Aperture Radar Images Based on Optimal Feature Combinations." Forests 15, no. 11 (2024): 2047. http://dx.doi.org/10.3390/f15112047.

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As a polarimetric synthetic aperture radar (SAR) mode capable of simultaneously acquiring abundant surface information and conducting large-width observations, compact polarimetric synthetic aperture radar (CP SAR) holds great promise for mangrove dynamics monitoring. Nevertheless, there have been no studies on mangrove identification using CP SAR. This study aims to explore the potential of C-band CP SAR for mangrove monitoring applications, with the objective of identifying the most effective CP SAR descriptors for mangrove discrimination. A systematic comparison of 52 well-known CP features

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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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Lamb, Brian T., Kyle C. McDonald, Maria A. Tzortziou, and Derek S. Tesser. "Characterizing Tidal Marsh Inundation with Synthetic Aperture Radar, Radiometric Modeling, and In Situ Water Level Observations." Remote Sensing 17, no. 2 (2025): 263. https://doi.org/10.3390/rs17020263.

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Tidal marshes play a globally critical role in carbon and hydrologic cycles by sequestering carbon dioxide from the atmosphere and exporting dissolved organic carbon to connected estuaries. These ecosystems provide critical habitat to a variety of fauna and also reduce coastal flood impacts. Accurate characterization of tidal marsh inundation dynamics is crucial for understanding these processes and ecosystem services. In this study, we developed remote sensing-based inundation classifications over a range of tidal stages for marshes of the Mid-Atlantic and Gulf of Mexico regions of the United

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Susaki, J., and M. Kishimoto. "URBAN AREA EXTRACTION USING AIRBORNE X-BAND FULLY POLARIMETRIC PI-SAR2 IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 219–26. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-219-2015.

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In this paper, we present a method to extract urban areas from X-band fully polarimetric synthetic aperture radar (SAR) data. It is known that very high resolution (VHR) SAR can extract buildings, but it requires more processes to map urban areas that should include other objects. The proposed method is mainly composed of two classifications. One classification uses total power of scattering and volume scattering derived by using four component decomposition method with correction of the polarization orientation angle (POA) effect. The other classification uses polarimetric coherency between &

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Merlo, Jason M., and Jeffrey A. Nanzer. "A C-Band Fully Polarimetric Automotive Synthetic Aperture Radar." IEEE Transactions on Vehicular Technology 71, no. 3 (2022): 2587–600. http://dx.doi.org/10.1109/tvt.2021.3138348.

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Migliaccio, Maurizio, Ferdinando Nunziata, Carl E. Brown, et al. "Polarimetric synthetic aperture radar utilized to track oil spills." Eos, Transactions American Geophysical Union 93, no. 16 (2012): 161–62. http://dx.doi.org/10.1029/2012eo160001.

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Sharifi, Alireza, and Jalal Amini. "Forest biomass estimation using synthetic aperture radar polarimetric features." Journal of Applied Remote Sensing 9, no. 1 (2015): 097695. http://dx.doi.org/10.1117/1.jrs.9.097695.

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Drinkwater, Mark R., R. Kwok, D. P. Winebrenner, and E. Rignot. "Multifrequency polarimetric synthetic aperture radar observations of sea ice." Journal of Geophysical Research 96, no. C11 (1991): 20679. http://dx.doi.org/10.1029/91jc01915.

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Bouhlel, Nizar, and Stephane Meric. "Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images." IEEE Transactions on Geoscience and Remote Sensing 57, no. 8 (2019): 6104–18. http://dx.doi.org/10.1109/tgrs.2019.2904401.

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Dvorsky, Matthew, Mohammad Tayeb Al Qaseer, and Reza Zoughi. "Polarimetric Synthetic Aperture Radar Imaging With Radially Polarized Antennas." IEEE Transactions on Instrumentation and Measurement 69, no. 12 (2020): 9866–79. http://dx.doi.org/10.1109/tim.2020.3002443.

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Pincus, Paul, Mark Preiss, Alvin S. Goh, and Douglas Gray. "Polarimetric calibration of circularly polarized synthetic aperture radar data." IEEE Transactions on Geoscience and Remote Sensing 55, no. 12 (2017): 6824–39. http://dx.doi.org/10.1109/tgrs.2017.2734924.

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Zhang, Yi, Xingwei Jiang, Qingtao Song, Mingsen Lin, and Xuetong Xie. "Coastal wind field retrieval from polarimetric synthetic aperture radar." Acta Oceanologica Sinica 33, no. 5 (2014): 54–61. http://dx.doi.org/10.1007/s13131-014-0479-5.

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Kuznetsov, V. A., and A. A. Potapov. "Texture-fractal analysis of polarimetric images generated by synthetic aperture radar stations." Радиотехника и электроника 68, no. 10 (2023): 941–53. http://dx.doi.org/10.31857/s0033849423100145.

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All currently known methods and methods for the formation of fractalfeatures of polarimetric radar images. Briefly reviewed newtexture-fractal feature – a directional multifractal signature measured morphologically by the iterative covering method. In relation to the analysis of polarimetric images formed by a synthetic aperture radar, a new concept for their processing is proposed, based on the possibility of taking into account the polarization differences of ground-based spatially distributed objects by identifying the multifractal and anisotropic properties of their texture. A variant of i

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Reisi Gahrouei, O., S. Homayouni, and A. Safari. "ESTIMATING CANOLA’S BIOPHYSICAL PARAMETERS FROM TEMPORAL, SPECTRAL, AND POLARIMETRIC IMAGERY USING MACHINE LEARNING APPROACHES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 885–89. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-885-2019.

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Abstract. The objective of this study was to investigate the application of multi-temporal optical and polarimetric synthetic aperture radar (PolSAR) Earth observations for crop characterization. Crop dry biomass, Leaf Area Index (LAI), and Plant Water Content (PWC) were estimated and assessed using Machin learning approaches. An accurate estimation of crop parameters provides essential information to increased food production and plays a crucial role in the management of agricultural lands. Multispectral and PolSAR data provide valuable observations of spectral and structural properties which

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Kong and Xu. "A MIMO-SAR Tomography Algorithm Based on Fully-Polarimetric Data." Sensors 19, no. 22 (2019): 4839. http://dx.doi.org/10.3390/s19224839.

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A fully-polarimetric unitary multiple signal classification (UMUSIC) tomography algorithm is proposed, which can be used for acquiring high-resolution three-dimensional (3D) imagery, in a polarimetric multiple-input multiple-output synthetic aperture radar (MIMO-SAR) with a small number of baselines. In terms of the elevation resolution, UMUSIC provides an improvement over standard MUSIC by utilizing the conjugate of the complex sample data and converting the complex covariance matrix into a real matrix. The combination of UMUSIC and fully-polarimetric data permits a further reduction of the n

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Tang, Fanyi, Zhenfang Li, Qingjun Zhang, et al. "Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion." Remote Sensing 15, no. 21 (2023): 5224. http://dx.doi.org/10.3390/rs15215224.

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Polarimetric Synthetic Aperture Radar (PolSAR) data is inherently characterized by speckle noise, which significantly deteriorates certain aspects of the quality of the PolSAR data processing, including the polarimetric decomposition and target interpretation. With the rapid increase in PolSAR resolution, SAR images in complex natural and artificial scenes exhibit non-homogeneous characteristics, which creates an urgent demand for high-resolution PolSAR filters. To address these issues, a new adaptive PolSAR filter based on joint similarity measure criterion (JSMC) is proposed in this paper. F

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Magagi, Ramata, Safa Jammali, Kalifa Goïta, Hongquan Wang, and Andreas Colliander. "Potential of L- and C- Bands Polarimetric SAR Data for Monitoring Soil Moisture over Forested Sites." Remote Sensing 14, no. 21 (2022): 5317. http://dx.doi.org/10.3390/rs14215317.

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This study investigates the potential of L- and C- bands Polarimetric Synthetic Aperture Radar (PolSAR) data to monitor soil moisture over the forested sites of SMAP Validation Experiment 2012 (SMAPVEX12). The optimal backscattering coefficients and polarimetric parameters to characterize the soil moisture were determined based on L-band Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), C-band RADARSAT-2, and ground measurements composed of soil and vegetation parameters collected during SMAPVEX12. Linear and circular backscattering coefficients (σ0) and polarimetric parameters suc

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Weissel, J. K., K. R. Czuchlewski, and Y. Kim. "Synthetic aperture radar (SAR)-based mapping of volcanic flows: Manam Island, Papua New Guinea." Natural Hazards and Earth System Sciences 4, no. 2 (2004): 339–46. http://dx.doi.org/10.5194/nhess-4-339-2004.

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Abstract. We present new radar-based techniques for efficient identification of surface changes generated by lava and pyroclastic flows, and apply these to the 1996 eruption of Manam Volcano, Papua New Guinea. Polarimetric L- and P-band airborne synthetic aperture radar (SAR) data, along with a C-band DEM, were acquired over the volcano on 17 November 1996 during a major eruption sequence. The L-band data are analyzed for dominant scattering mechanisms on a per pixel basis using radar target decomposition techniques. A classification method is presented, and when applied to the L-band polarime

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Zhang, Yanmin, Yunhua Wang, and Qiaohui Xu. "On the Nonlinear Mapping of an Ocean Wave Spectrum into a New Polarimetric SAR Image Spectrum." Journal of Physical Oceanography 50, no. 11 (2020): 3109–22. http://dx.doi.org/10.1175/jpo-d-20-0045.1.

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AbstractA new nonlinear transformation relation is derived to describe the mapping of a two-dimensional ocean wave spectrum into a new polarimetric synthetic aperture radar (SAR) image spectrum. It is a further expansion and improvement of Hasselmann’s work. First, the nonlinear mapping relation proposed is derived on the basis of a new polarimetric SAR image instead of the conventional single-polarization SAR image. Second, the nonlinear mapping relation no longer includes the complex hydrodynamic modulation transfer function (MTF). Third, the traditional tilt MTF, which is not accurate enoug

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Mittal, Vikas, Dharmendra Singh, and Lalit Mohan Saini. "Critical analysis of classification techniques for polarimetric synthetic aperture radar data." International Journal of Advances in Intelligent Informatics 2, no. 1 (2016): 7. http://dx.doi.org/10.26555/ijain.v2i1.52.

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Full polarimetry SAR data known as PolSAR contains information in terms of microwave energy backscattered through different scattering mechanisms (surface-, double- and volume-scattering) by the targets on the surface of land. These scattering mechanisms information is different in different features. Similarly, different classifiers have different capabilities as far as identification of the targets corresponding to these scattering mechanisms. Extraction of different features and the role of classifier are important for the purpose of identifying which feature is the most suitable with which

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Yu, Teng, Muyang Li, Weidong Li, et al. "Polarimetric Calibration Technique for a Fully Polarimetric Entomological Radar Based on Antenna Rotation." Remote Sensing 14, no. 7 (2022): 1551. http://dx.doi.org/10.3390/rs14071551.

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For entomological radar, the polarization information of the target is usually used to estimate the biological parameters, such as orientation, body length, and mass, of the insect. Thus, the accuracy of polarization measurement directly affects the performance of the biological parameters’ estimation. The polarization measurement error is mainly caused by the imbalance of amplitude and phase between two polarization channels and the crosstalk of the dual-polarization antenna. In order to obtain the correct polarization information of the target, the polarimetric calibration of the entomologic

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Fu, Wenxue, Xinwu Li, Meng Wang, and Lei Liang. "Delineation of Radar Glacier Zones in the Antarctic Peninsula Using Polarimetric SAR." Water 12, no. 9 (2020): 2620. http://dx.doi.org/10.3390/w12092620.

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Climate change is a cause of the expansion of snowmelt phenomena in the Antarctic, and shifts in position of wet and dry snow lines have been considered as good indicators of climate changes. The impacts of climate change are observable by the delineation of significant position change of glacier zones. The principal limitation of current glacier zone classification methods by synthetic aperture radar (SAR) image is that it is difficult to discriminate dry-snow and wet-snow zones using only single-polarimetric radar backscattering intensity. This study tried to solve the problem using polarime

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Martorella, M., A. Cacciamano, E. Giusti, F. Berizzi, B. Haywood, and B. Bates. "CLEAN Technique for Polarimetric ISAR." International Journal of Navigation and Observation 2008 (August 12, 2008): 1–12. http://dx.doi.org/10.1155/2008/325279.

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Inverse synthetic aperture radar (ISAR) images are often used for classifying and recognising targets. To reduce the amount of data processed by the classifier, scattering centres are extracted from the ISAR image and used for classifying and recognising targets. This paper addresses the problem of estimating the position and the scattering vector of target scattering centres from polarimetric ISAR images. The proposed technique is obtained by extending the CLEAN technique, which was introduced in radar imaging for extracting scattering centres from single-polarisation ISAR images. The effecti

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Zheng, Honglei, Yanmin Zhang, Yunhua Wang, Xi Zhang, and Junmin Meng. "The polarimetric features of oil spills in full polarimetric synthetic aperture radar images." Acta Oceanologica Sinica 36, no. 5 (2017): 105–14. http://dx.doi.org/10.1007/s13131-017-1065-4.

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Seydi, S. T., and R. Shahhoseini. "TRANSFORMATION BASED ALGORITHMS FOR CHANGE DETECTION IN FULL POLARIMETRIC REMOTE SENSING IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 963–67. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-963-2019.

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Abstract. Thanks to the recent advances in the development of polarimetric synthetic aperture radar (SAR) sensors, this remote sensing field attracts many applications. Among the different applications of these data, change detection is one of the most important applications. PolSAR images, due to interactions between electromagnetic waves and the target, could be used to study changes in the Earth's surface. This paper is a type of transformation-based method for polarimetric change detection (CD) purpose. For this purpose, we use full polarimetry imaging radar and extracted 138 features base

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Bailey, Johnson, Armando Marino, and Vahid Akbari. "Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data." Remote Sensing 13, no. 9 (2021): 1753. http://dx.doi.org/10.3390/rs13091753.

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Icebergs represent hazards to ships and maritime activities and therefore their detection is essential. Synthetic Aperture Radar (SAR) satellites are very useful for this, due to their capability to acquire data under cloud cover and during day and night passes. In this work, we compared six state-of-the-art polarimetric target detectors to test their performance and ability to detect small-sized icebergs <120 m in four locations in Greenland. We used four single-look complex (SLC) ALOS-2 quad-polarimetric images from JAXA for quad-polarimetric detection and we compared with dual-polarimetr

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Bondur, Valery, Tumen Chimitdorzhiev, Aleksey Dmitriev, and Pavel Dagurov. "Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study." Remote Sensing 13, no. 24 (2021): 5136. http://dx.doi.org/10.3390/rs13245136.

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In this paper, we demonstrate the estimation capabilities of landslide reactivation based on various SAR (Synthetic Aperture Radar) methods: Cloude-Pottier decomposition of Sentinel-1 dual polarimetry data, MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) techniques, and cloud computing of backscattering time series. The object of the study is the landslide in the east of Russia that took place on 11 December 2018 on the Bureya River. H-α-A polarimetric decomposition of C-band radar images not detected significant transformations of scattering mechanisms for the surface of th

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Kong, J. A., S. H. Yueh, H. H. Lim, R. T. Shin, and J. J. van Zyl. "Classification of Earth Terrain Using Polarimetric Synthetic Aperture Radar Images." Progress In Electromagnetics Research 03 (1990): 327–70. http://dx.doi.org/10.2528/pier90010100.

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Wang, Shuo, Haiming Qi, and Weidong Yu. "An Internal Calibration Scheme for Polarimetric Synthetic Aperture Radar System." IEEE Transactions on Geoscience and Remote Sensing 49, no. 1 (2011): 15–20. http://dx.doi.org/10.1109/tgrs.2010.2048716.

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Doulgeris, Anthony P., Stian Normann Anfinsen, and Torbjørn Eltoft. "Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images." IEEE Transactions on Geoscience and Remote Sensing 49, no. 10 (2011): 3665–76. http://dx.doi.org/10.1109/tgrs.2011.2140120.

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