Moving Targets Detection and Analysis on Multi-Look Polarimetric SAR Images using PWF Method

2008 ◽  
Author(s):  
Bin Zou ◽  
Tao Wei ◽  
Lamei Zhang
Keyword(s):  
Moving Targets ◽  
Polarimetric Sar ◽  
Sar Images

3D-SPIHT Compression of Multi-polarimetric SAR Images

2011 ◽  
Vol 30 (1) ◽  
pp. 216-219
Author(s):  
Wen-chao Zhang ◽  
Yan-fei Wang ◽  
Zhi-gang Pan
Keyword(s):  
Polarimetric Sar ◽  
Sar Images

Selection of Suitable Window Size for Speckle Reduction and Deblurring using SOFM in Polarimetric SAR Images

2015 ◽  
Vol 43 (4) ◽  
pp. 739-750 ◽  
Author(s):  
Sanjay Shitole ◽  
Shaunak De ◽  
Y. S. Rao ◽  
B. Krishna Mohan ◽  
Anup Das
Keyword(s):  
Window Size ◽  
Speckle Reduction ◽  
Polarimetric Sar ◽  
Sar Images ◽  
Selection Of

scholarly journals Investigation of the capability of multitemporal RADARSAT-2 fully polarimetric SAR images for land cover classification：a case of Panyu, Guangdong province

2021 ◽  
Vol 54 (1) ◽  
pp. 338-350
Author(s):  
Di Liu ◽  
Zhixin Qi ◽  
Hui Zhang ◽  
Xia Li ◽  
Anthony Gar-on Yeh ◽  
...  
Keyword(s):  
Land Cover ◽  
Guangdong Province ◽  
Polarimetric Sar ◽  
Sar Images

scholarly journals Extended GLRT Detection of Moving Targets for Multichannel SAR Based on Generalized Steering Vector

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1478
Author(s):  
Chong Song ◽  
Bingnan Wang ◽  
Maosheng Xiang ◽  
Wei Li
Keyword(s):  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Moving Target ◽  
Ratio Test ◽  
Constant False Alarm Rate ◽  
Moving Targets ◽  
Sar Images ◽  
Steering Vector ◽  
Current Cell ◽  
Data Vector

A generalized likelihood ratio test (GLRT) with the constant false alarm rate (CFAR) property was recently developed for adaptive detection of moving targets in focusing synthetic aperture radar (SAR) images. However, in the multichannel SAR-ground moving-target indication (SAR-GMTI) system, image defocus is inevitable, which will remarkably degrade the performance of the GLRT detector, especially for the lower radar cross-section (RCS) and slower radial velocity moving targets. To address this issue, based on the generalized steering vector (GSV), an extended GLRT detector is proposed and its performance is evaluated by the optimum likelihood ratio test (LRT) in the Neyman-Pearson (NP) criterion. The joint data vector formulated by the current cell and its adjacent cells is used to obtain the GSV, and then the extended GLRT is derived, which coherently integrates signal and accomplishes moving-target detection and parameter estimation. Theoretical analysis and simulated SAR data demonstrate the effectiveness and robustness of the proposed detector in the defocusing SAR images.

scholarly journals Land Cover Classification for Polarimetric SAR Images Based on Mixture Models

2014 ◽  
Vol 6 (5) ◽  
pp. 3770-3790 ◽  
Author(s):  
Wei Gao ◽  
Jian Yang ◽  
Wenting Ma
Keyword(s):  
Land Cover ◽  
Mixture Models ◽  
Land Cover Classification ◽  
Polarimetric Sar ◽  
Sar Images

scholarly journals Iterative minimum entropy algorithm for refocusing of moving targets in SAR images

2019 ◽  
Vol 13 (8) ◽  
pp. 1279-1286 ◽  
Author(s):  
Yichang Chen ◽  
Gang Li ◽  
Qun Zhang
Keyword(s):  
Minimum Entropy ◽  
Moving Targets ◽  
Sar Images
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