Relevant bibliographies by topics / Images radar marin

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Images radar marin'

Author: Grafiati
Published: 16 September 2023

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Journal articles on the topic "Images radar marin"

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Cai, Jun, George A. McMechan, and Michael A. Fisher. "Application of ground-penetrating radar to investigation of near-surface fault properties in the San Francisco Bay region." Bulletin of the Seismological Society of America 86, no. 5 (1996): 1459–70. http://dx.doi.org/10.1785/bssa0860051459.

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Abstract In many geologic environments, ground-penetrating radar (GPR) provides high-resolution images of near-surface Earth structure. GPR data collection is nondestructive and very economical. The scale of features detected by GPR lies between those imaged by high-resolution seismic reflection surveys and those exposed in trenches and is therefore potentially complementary to traditional techniques for fault location and mapping. Sixty-two GPR profiles were collected at 12 sites in the San Francisco Bay region. Results show that GPR data correlate with large-scale features in existing trench
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Chen, Duo, Ying Li, Yi Wen Wang, and Jin Xu. "Research on Marine Radar Image Collection Technology Based on OpenCV." Advanced Materials Research 798-799 (September 2013): 578–81. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.578.

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Marine radar image collection technology has been applied in many fileds. It has been a research focus at home and abroad for a long time. This paper proposes an architecture of marine radar image collection system based on Sperry radar, HPX Rader Information Board, OpenCV, SPX Function Library. And implementation of key technologies was diccussed from three aspects, includ-ing radar image display, collection and clear functions. This system has worked well in practice.
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Wang, Hui, Haiyang Qiu, Pengfei Zhi, et al. "Study of Algorithms for Wind Direction Retrieval from X-Band Marine Radar Images." Electronics 8, no. 7 (2019): 764. http://dx.doi.org/10.3390/electronics8070764.

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After decades of research, X-band marine radars have been broadly used for wind measurement. For retrieving the wind direction based on the wind-induced streaks, a lot of effort has been expended on three celebrated approaches—the local gradient method (LGM), the adaptive reduced method (ARM), and the energy spectrum method (ESM). This paper presents a scientific study of these methods. The contrast of retrieving the real measured marine radar images and vane measured results is evaluated, in perspective of the error statistics and algorithm operation efficiency. Interference factors, such as
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Mityagina, M. I. "Intensity of convective motions in marine atmospheric boundary layer retrieved from ocean surface radar imagery." Nonlinear Processes in Geophysics 13, no. 3 (2006): 303–8. http://dx.doi.org/10.5194/npg-13-303-2006.

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Abstract. The paper focuses on the occurrence and development of coherent structures observed in the atmosphere above ocean under natural conditions. Microwave imaging radars are suggested as data take instruments. The phenomena of marine atmospheric cells and rolls onset, horizontal planform, aspect ratio and scaling phenomena are examined. Convective patterns manifested in radar images and information derived on the intensity of atmospheric motion are discussed.
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Mingozzi, Matteo, Francesca Salvioli, and Francesco Serafino. "X-Band Radar for Cetacean Detection (Focus on Tursiops truncatus) and Preliminary Analysis of Their Behavior." Remote Sensing 12, no. 3 (2020): 388. http://dx.doi.org/10.3390/rs12030388.

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Cetaceans are protected species all over the world, most of them are vulnerable, endangered, or data deficient (according to International Union for Conservation of Nature - IUCN red list). X-band radars detect the echo of the electromagnetic signal reflected by an obstacle or a ship (target). The application of X-band radar to the detection of cetaceans is a new and innovative field of research that could improve the automation of marine mammal data collection, and this is the first time in the Mediterranean Sea. The aim of this work was to test the capability of X-band radar installed along
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Zhang, Chuang, Meihan Fang, Chunyu Yang, Renhai Yu, and Tieshan Li. "Perceptual Fusion of Electronic Chart and Marine Radar Image." Journal of Marine Science and Engineering 9, no. 11 (2021): 1245. http://dx.doi.org/10.3390/jmse9111245.

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Electronic charts and marine radars are indispensable equipment in ship navigation systems, and the fusion display of these two parts ensures that the vessel can display dangerous moving targets and various obstacles on the sea. To reduce the noise interference caused by external factors and hardware, a novel radar image denoising algorithm using the concept of Generative Adversarial Network (GAN) using Wasserstein distance is proposed. GAN focuses on transferring the image noise distribution between strong and weak noise, while the perceptual loss approach is to suppress the noise by comparin
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Austin, G. L., A. Bellon, M. Riley, and E. Ballantyne. "Navigation by Computer Processing of Marine Radar Images." Journal of Navigation 38, no. 3 (1985): 375–83. http://dx.doi.org/10.1017/s0373463300032744.

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The advantages of being able to process marine radar imagery in an on-line computer system have been illustrated by study of some navigational problems. The experiments suggest that accuracies of the order of 100 metres may be obtained in navigation in coastal regions using map overlays with marine radar data. A similar technique using different radar imagery of the same location suggests that the pattern-recognition technique may well yield a position-keeping ability of better than 10 metres.
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Chen, Zhongbiao, Yijun He, and Wankang Yang. "Study of Ocean Waves Measured by Collocated HH and VV Polarized X-Band Marine Radars." International Journal of Antennas and Propagation 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8257930.

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The significant wave height (SWH) retrieved from collocated HH and VV polarized X-band marine radars under different sea states is studied. The SWH are retrieved from different principal components of X-band marine radar image sequence. As compared with the SWH measured by a buoy, the root-mean-square errors of the SWH are 0.32–0.45 m for VV polarization, and they are 0.37–0.60 m for HH polarization. At the wind speeds of 0–5 m/s, the SWH can be derived from VV polarized radar images, while the backscatter of HH polarized radar is too weak to contain wave signals at very low wind speeds (~0–3
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Wei, Yanbo, Yalin Liu, Yifei Lei, Ruiyao Lian, Zhizhong Lu, and Lei Sun. "A New Method of Rainfall Detection from the Collected X-Band Marine Radar Images." Remote Sensing 14, no. 15 (2022): 3600. http://dx.doi.org/10.3390/rs14153600.

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To control the quality of X-band marine radar images for retrieving information and improve the inversion accuracy, the research on rainfall detection from marine radar images is investigated in this paper. Currently, the difference in the correlation characteristic between the rain-contaminated radar image and the rain-free radar image is utilized to detect rainfall. However, only the correlation coefficient at a position in the lagged azimuth is utilized, and a statistical hard threshold is adopted. By deeply investigating the difference between the calculated correlation characteristic and
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Ji, Xing, Jia Yuan Zhuang, and Yu Min Su. "Marine Radar Target Detection for USV." Advanced Materials Research 1006-1007 (August 2014): 863–69. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.863.

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Unmanned surface vehicles (USV) have become an intense research area because of their extensive applications. Marine radar is the most important environmental perception sensor for USV. Aiming at the problems of noise jamming, uneven brightness, target lost in marine radar images, and the high-speed USV to the requirement of real-time and reliability, this paper proposes the radar image target detection algorithms which suitable for embedded marine radar target detection system. The smoothing algorithm can adaptive select filter in noise, border and background areas, improves the efficiency an
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Dissertations / Theses on the topic "Images radar marin"

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Michelet, Jordan. "Extraction du fouillis de mer dans des images radar marin cohérent : modèles de champ de phases, méthodes de Boltzmann sur réseau, apprentissage." Electronic Thesis or Diss., La Rochelle, 2022. http://www.theses.fr/2022LAROS048.

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Nous nous intéressons au problème d’extraction du fouillis de mer dans des images radar marin. Le parti pris est de développer des méthodes de traitement d’image permettant de s’affranchir au mieux d’hypothèses sur la nature du fouillis de mer et du signal d’intérêt. D’une part, nous proposons un algorithme basé sur une approche variationnelle originale : un modèle multiphasique à interface diffuse. Les résultats obtenus montrent que l’algorithme est efficace lorsque le signal d’intérêt a un rapport signal-sur-fouillis suffisamment grand. D’autre part, nous nous intéressons à l’implémentation
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Jolly, Alistair Duncan. "Feature extraction from millimetre wave radar images." Thesis, University of Central Lancashire, 1992. http://clok.uclan.ac.uk/19034/.

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This thesis describes research performed into the segmentation and classification of features on images of wound terrain generated from an airborne millimetre wave radar. The principles of operation of the radar are established and it is shown how an image is produced from this particular radar. The parameters such as wavelength, antenna size and pulse length are related to the images and a mathematical description of the radar data is given. The effectiveness of established image processing techniques is reviewed when applied to millimetre wave radar images and a statistical classification te
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Qi, Yusheng Ph D. Massachusetts Institute of Technology. "Sea surface wave reconstruction from marine radar images." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74939.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 103-105).<br>The X-band marine radar is one type of remote sensing technology which is being increasingly used to measure sea surface waves nowadays. In this thesis, how to reconstruct sea surface wave elevation maps from X-band marine radar images and do wave field prediction over short term in real time are discussed. The key idea of reconstruction is using dispersion relation based on the linear wave theory to separa
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Svensson, Henrik. "Simultaneous Localization And Mapping in a Marine Environment using Radar Images." Thesis, Linköping University, Automatic Control, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20845.

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<p>Simultaneous Localization And Mapping (SLAM) is a process of mapping an unknown environment and at the same time keeping track of the position within this map. In this theses, SLAM is performed in a marine environent using radar images only.</p><p>A SLAM solution is presented. It uses SIFT to compare pairs of radar images. From these comparisons, measurements of the boat movements are obtained. A type of Kalman filter (Exactly Sparse Delayed-state Filter, ESDF) uses these measurements to estimate the trajectory of the boat. Once the trajectory is estimated, the radar images are joined toget
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Trebossen, Hervé. "Apport des images RADAR à synthèse d'ouverture à la cartographie marine." Marne-la-Vallée, 2002. http://www.theses.fr/2002MARN0140.

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Plus de la moitié du transport de marchandises à travers le monde se fait par voie de mer. Un des moyens permettant d’assurer la sécurité des navires et par conséquent d’éviter les pollutions accidentelles est de mettre à la disposition des marins des cartes marines de qualité, conformes aux moyens modernes de navigation (navigation par GPS). Malheureusement, actuellement, ces documents de navigation sont anciens sur nombre de zones côtières. Le SHOM qui est chargé en France de l’établissement et de la diffusion de l’information nautique utilise, dans certains cas, pour actualiser plus rapidem
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Wang, Yuanxun. "Radar signature prediction and feature extraction using advanced signal processing techniques /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Aljohani, Mansour Abdullah M. "A Technique for Magnetron Oscillator Based Inverse Synthetic Aperture Radar Image Formation." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1571665145862203.

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Assali, Camille. "Contribution des radars embarqués à l'étude des stratégies collectives de recherche alimentaire chez les oiseaux marins." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTT075/document.

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Dans l’océan, les bancs de proies représentent une source d’alimentation ponctuelle. Pour pallier à cela, les oiseaux marins profitent de l’information sociale provenant de conspécifiques, hétérospecifiques, ou bateaux de pêche. Dans cette thèse, nous cherchons à évaluer l’influence de différentes sources d’information sur les stratégies de recherche alimentaire des oiseaux marins en milieu pélagique tropical.Les oiseaux détectent des prédateurs ou des bateaux à des distances dépassant dix kilomètres. Nous étudions donc leur distribution à sub-méso-échelle, ceci grâce à des images d’un radar à
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Margarit, Martín Gerard. "Marine applications of SAR polarimetry." Doctoral thesis, Universitat Politècnica de Catalunya, 2007. http://hdl.handle.net/10803/6944.

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Els oceans mantenen una fràgil i complexa cadena que enllaça un alt nombre de factors biològics, sociològics i econòmics. Actualment, aquest ecosistema està amenaçat per l'activitat humana i uns dels punts més crítics és la sobreexplotació pesquera. Això ha despertat la consciencia de les autoritats d'arreu per a protegir l'entorn marí i assegurar, així, la seguretat i supervivència dels éssers humans. Tal objectiu demana el desenvolupament de polítiques de control que monitorin l'activitat dels vaixells. <br/><br/>Fins l'actualitat, diferents propostes s'han estudiat per monitorar vaixells, c
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Martinez, Garcia Javier [Verfasser], Martin [Akademischer Betreuer] Vossiek, Christian [Gutachter] Waldschmidt, and Mario [Gutachter] Huemer. "Classification of MIMO-FMCW radar images with convolutional neural networks in a parking monitoring application / Javier Martinez Garcia ; Gutachter: Christian Waldschmidt, Mario Huemer ; Betreuer: Martin Vossiek." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020. http://d-nb.info/1214443494/34.

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Books on the topic "Images radar marin"

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Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2021.

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Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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Book chapters on the topic "Images radar marin"

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Picetti, Francesco. "How Deep Learning Can Help Solving Geophysical Inverse Problems." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_12.

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AbstractThis brief summarizes some of the main results I obtained during my Ph.D. studies at Politecnico di Milano, under the supervision of Professor Stefano Tubaro. The thesis provides contributions to understanding the advantages, and limitations, of data-driven deep learning approaches to geophysical inverse problems, with a special focus on Convolutional Neural Networks (CNNs). Exploration Geophysics aims at estimating accurate physical properties of the Earth subsurface from seismic data acquired close to the surface. Seismic data show a great variety of statistically relevant and independent patterns. I devise Deep Learning methods to solve several geophysical tasks by learning such patterns. First, I devise generative networks as a post-processing operator for refining reflectivity images. When trained on pure image datasets, these networks suffer from the lack of physical knowledge. Then, I show a different approach named Deep Priors, which are CNNs that precondition the inverse problem. In particular, I develop a scheme to interpolate seismic data. Finally, I leverage the features extraction ability of CNNs for buried landmine detection on Ground Penetrating Radar (GPR) acquisitions. While the presented methods are effective compared to the state of the art, improvements can be achieved by integrating pure data-driven algorithms within general inverse problems theory through a-priori information derived from domain knowledge.
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Zhang, Jiaju, Zhen Zuo, Sun Bei, Peng Wu, and Honghe Huang. "UKF-EC: Combining the Unscented Kalman Filter and the Maximum Weight Algorithms for Moving Target Tracking in Marine Radar Images." In Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0479-2_170.

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Chen, Xinwei, Weimin Huang, and Björn Lund. "Wind parameter measurement using X-band marine radar images." In Ocean Remote Sensing Technologies: High frequency, marine and GNSS-based radar. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/sbra537e_ch17.

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Yahia, Mohamed, and Tarig Ali. "SAR Image Denoising using MMSE Techniques." In Denoising - New Insights [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108362.

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Synthetic aperture radar (SAR) provides many advantages over optical remote sensing, principally the all-weather and all-day acquisition capability. For this reason, SAR images have been exploited for many applications such as forestry, agriculture, disaster monitoring, sea/ice monitoring. However, the main limitation in SAR images is the contamination with the multiplicative speckle noise. The speckle damages the radiometric quality of SAR images and contracts the performance of information extraction techniques. Many methods have been proposed in the literature to reduce speckle noise. These methods, however, must avoid degrading the useful information in the SAR images, such as textures, local mean of backscatter, and point targets. The minimum mean square error (MMSE) techniques have been largely applied in SAR image speckle denoising. The objective of this chapter is to review and give new insights into the MMSE denoising of SAR images. In particular, the performances of three MMSE-based techniques which are the commonly applied Lee sigma filter and the newly introduced iterative MMSE (IMMSE) filter, and the infinite number of looks prediction (INLP) filter are studied.
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Chernyshov, Pavel, Teodor Vrecica, and Yaron Toledo. "Wavelet-based methods to invert sea surfaces and bathymetries from X-band radar images." In Ocean Remote Sensing Technologies: High frequency, marine and GNSS-based radar. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/sbra537e_ch13.

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Vijayakumar, Singanamalla. "Computational Techniques of Oil Spill Detection in Synthetic Aperture Radar Data: Review Cases." In Recent Oil Spill Challenges That Require More Attention [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.108115.

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In this chapter, a major role of environmental assessment is an oil spill identifies or detected from the coastal region surfaces or marine surroundings. Normally, the oil spills on the coastal regions impact their characteristics of environmental activities. However, these activities are monitoring through several radar satellites and sensor. For those achievable activities detecting or identifying, many researchers developed several approaches. Particularly, this chapter discusses about the detection of oil spill current operational effects on coastal region surfaces. In addition, the current research operations of oil spill characterizations and quality of its impacts, effects of current environmental bio-systems, their control measurement strategies, and its surveillance operations are discussed. Finally, the oil spill detection is done through the SAR image region classification based on its feature extraction. This could be monitored from the image dark region selection through remote sensing techniques.
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Habeeb Alghanimi, Abdulhameed. "Medical Application of Ultra-Wideband Technology." In Innovations in Ultra-Wideband Technologies. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93577.

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This chapter deals with the applications of ultra-wideband technology, especially for medical scope, and the most features and advantages that made it useful in this scope. Also, the chapter has been included with the most important medical applications of UWB technology. Ultra-wideband radar for angiography and UWB glucometer are the main applications which will be explained in this chapter. The exposure for safety aspects, the dielectric properties of human tissues, blood dielectric properties measurement using open-ended coaxial probe experiment to improve the blood image, and the ideal ultra-wideband pulses’ shape, width, and repetition time that are used for medical applications have been illustrated. Finally, the results (figures, tables, and experiment results), conclusions, and discussions have been mentioned.
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"A Targets Detection Approach Based on an improved R-CNN Algorithm for Inland River Crossing Area Marine Radar Image." In Proceedings of the International Seminar on Safety and Security of Autonomous Vessels (ISSAV) and European STAMP Workshop and Conference (ESWC) 2019. Sciendo, 2020. http://dx.doi.org/10.2478/9788395669606-006.

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Mostipan, Oleksandr. "PERSPECTIVES OF MODERNIZATION OF THE COMMUNICATION STRATEGY OF THE VERKHOVNA RADA OF UKRAINE FOR 2017-2021 YEARS." In Integration of traditional and innovation processes of development of modern science. Publishing House “Baltija Publishing”, 2020. http://dx.doi.org/10.30525/978-9934-26-021-6-9.

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The article examines the issue of improving the Communication Strategy of the Verkhovna Rada of Ukraine for 2017-2021 to increase the level of trust in Parliament, raise the political and legal culture of citizens, counteract information wars and operations against the Parliament, as well as the development of e-democracy. It is noted that the low level of public trust in Parliament causes the necessity of modernizing the parliamentary system of communications in the vector of approximation to EU standards and raising the political and legal culture of citizens. The thesis is grounded on the necessity of developing a communication system of protection against information wars and operations against the Parliament of Ukraine, forming its positive image and counteracting manipulative media. The main criterion for the effectiveness of the Strategy is proposed to be the increase of the level of trust in the Parliament and parliamentarians. It is suggested to pay more attention to the formation of the institutional basis for the implementation of the Communication Strategy: responsible entities, their job responsibilities and necessary resources. The implementation of joint projects of the Parliament of Ukraine with universities and research institutions, the establishment of a school of communications, conducting seminars, trainings and forums in cooperation with civil society will have a positive impact on the implementation of the Communication Strategy. This will develop the tradition of communication and understanding of the parliamentarian as a professional communicator. The implementation of the Communication Strategy envisages increasing the efficiency of the information space monitoring system, timely response to negative reports about the Parliament and prevention of their occurrence, which is the basis of anti-crisis communications. The tools that ensure the openness of the Parliament not only contribute to the realization of the idea of representation, but also immanently pose threats to democracy through manipulative media, trolling, cyberbullying. Digital communications are important, but by themselves will not completely solve the problem of low confidence in Parliament, and are seen as a modern tool that can be updated at any time. The implementation of the Communication Strategy of the Verkhovna Rada of Ukraine for 2017-2021 should be considered in the context of ensuring the national security of the state, branding of Ukraine in the world and responding to opportunities-threats from globalization.
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Conference papers on the topic "Images radar marin"

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O'Connell, Barbara J. "Ice Hazard Radar." In SNAME 9th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2010. http://dx.doi.org/10.5957/icetech-2010-179.

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Ships transiting polar regions would benefit from a marine ice navigation radar that could help them differentiate between dangerous multi-year ice and thick first-year ice. Conventional marine radars are designed for target detection and avoidance. Enhanced marine radars provide a higher definition image of the ice that the vessel is transiting through and may help the user to identify certain ice features, but they cannot distinguish first year ice from old ice. This paper presents one approach for the automated identification of sea ice types by a marine radar using cross-polarization techn
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O’Connell, Barbara J. "Marine Radar for Improved Ice Detection." In SNAME 8th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2008. http://dx.doi.org/10.5957/icetech-2008-136.

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A high-speed marine radar combined with advanced digital processing can produce high resolution images that allow the user to identify hazardous ice features and small icebergs which are nearly impossible to see with a conventional radar. The Canadian Coast Guard (CCG) is working in partnership with Transport Canada’s Transportation Development Centre (TDC) to develop an “Ice Hazard Radar”. The system was evaluated in three dedicated trials on board the icebreaker CCGS Henry Larsen to fully demonstrate the capability of the radar in a variety of operating environments and ice conditions. This
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Li, Wei, Houxiang Zhang, and Ottar L. Osen. "A UAV SAR Prototype for Marine and Arctic Application." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61264.

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SAR (Synthetic Aperture Radar ) systems are special types of radar that produce high resolution images (comparable to optical sensors) in all weather conditions, night and day. SAR sensors have many applications in marine and arctic applications. In this paper a compact SAR prototype system is developed for UAV (Unmanned Aerial Vehicle) platform. The radar is based on FMCW (Frequency-Modulated Continuous-Wave) radar mode. The system integrates a high performance RTK (Real Time Kinematic) GPS and IMU (inertial measurement unit) based motion compensation module, FPGA (Field Programmable Gate Arr
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Wijaya, A. P. "Towards Nonlinear Wave Reconstruction and Prediction From Synthetic Radar Images." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54496.

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The use of remotely wave sensing by a marine radar is increasingly needed to provide wave information for the sake of safety and operational effectiveness in many offshore activities. Reconstruction of radar images needs to be carried out since radar images are a poor representation of the sea surface elevation: effects like shadowing and tilt determine the backscattered intensity of the images. In [1], the sea state reconstruction and wave propagation to the radar has been tackled successfully for synthetic radar images of linear seas, except for a scaling in the vertical direction. The deter
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Chen, Xiaolong, Jian Guan, Zhigao Wang, Hai Zhang, and Guoqing Wang. "Marine Targets Detection for Scanning Radar Images Based on Radar- YOLONet." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028264.

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Chen, Xinwei, and Weimin Huang. "Rain Detection From X-Band Marine Radar Images." In 2019 IEEE Radar Conference (RadarConf19). IEEE, 2019. http://dx.doi.org/10.1109/radar.2019.8835559.

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Frejlichowski, Dariusz, and Andrzej Lisaj. "Analysis of lossless radar images compression for navigation in marine traffic and remote transmission." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720964.

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Nieto-Borge, Jose C., Victor del Estal-Fernandez, Pilar Jarabo-Amores, and Konstanze Reichert. "Moving ship detection in presence of sea clutter from temporal sequences of marine radar images." In 2008 International Conference on Radar (Radar 2008). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653897.

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Nieto-Borge, Jose C., Ana M. Baquero-Martinez, David de la Mata-Moya, and Jose L. Alvarez-Perez. "Analysis of the sea clutter structure using temporal sequences of X-band marine radar images." In 2008 International Conference on Radar (Radar 2008). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653987.

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Nieto-Borge, Jose C., Katrin Hessner, Pilar Jarabo-Amores, and David de la Mata Moya. "Analysis of sea state parameters and ocean currents from temporal sequences of marine radar images of the sea surface." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721062.

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Reports on the topic "Images radar marin"

1

Werle, D. Radar remote sensing for application in forestry: a literature review for investigators and potential users of SAR data in Canada. Natural Resources Canada/CMSS/Information Management, 1989. http://dx.doi.org/10.4095/329188.

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Information provided in this document allows potential users of synthetic aperture radar (SAR) imagery as well as investigators participating in the Canadian Radar Data Development Program (RDDP) to obtain an overview of achievements, limitations and future potential of radar remote sensing for application in forestry, as portrayed in the published literature. Investigations concerned with radar remote sensing and its potential for application in forestry are reviewed. The main focus of these studies was the determination of microwave backscatter characteristics of forestry targets using diffe
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Deschamps, Robert, and Henschel. PR-420-133721-R01 Comparison of Radar Satellite Methods for Observation of Stability. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010840.

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This report discusses the use of Synthetic Aperture Radar (SAR) satellites for monitoring above ground pipelines and buried pipeline Rights-Of-Way (ROWs) using Interferometric Synthetic Aperture Radar (InSAR) techniques. The main thrust of the research was to evaluate the suitability of above-ground pipeline support members as InSAR measurement points, and to adapt existing techniques to allow for precise monitoring of jacking and subsidence caused by permafrost degradation and dynamics. The study site at Prudhoe Bay, Alaska includes more than 60,000 horizontal pipeline supports. The known loc
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