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by Zhang, SY and Hou, B and Jiao, LC and Wu, Q
JOURNAL OF INFRARED AND MILLIMETER WAVES, ISSN 1001-9014, 04/2018, Volume 37, Issue 2, pp. 177 - 183
In order to solve problem of the limited training samples and keep consistency in one region, a new two level classification scheme is proposed, which combines... 
SAR IMAGES | Wishart distance | polarimetric synthetic aperture radar (PoISAR) images | Markov random fields (MRF) | OPTICS | sparse auto-encoder (SAE)
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 04/2019, Volume 57, Issue 4, pp. 1918 - 1927
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2015, Volume 48, Issue 3, pp. 685 - 695
Journal Article
International Journal of Applied Earth Observation and Geoinformation (JAG), ISSN 1569-8432, 12/2017, Volume 63, pp. 78 - 89
Reliability of the scattering model based polarimetric SAR (PolSAR) speckle filter depends upon the accurate decomposition and classification of the scattering... 
ITC-ISI-JOURNAL-ARTICLE | Speckle filtering | Polarimetric synthetic aperture RADAR (PolSAR) | REMOTE SENSING | IMAGERY | UNSUPERVISED CLASSIFICATION | POLARIMETRIC SAR DATA | STATISTICS | DECOMPOSITION | INTENSITY | Polarimetric synthetic aperture RADAR (PoISAR) | MODEL | ENTROPY | Analysis | Synthetic aperture radar | Artificial satellites in remote sensing
Journal Article
Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, ISSN 1001-9014, 08/2016, Volume 35, Issue 4, pp. 398 - 406
Journal Article
2018 International Conference on Computer, Information and Telecommunication Systems (CITS), 07/2018, pp. 1 - 5
The overestimation of volume scattering (OVS) generally leads to misinterpretations of scattering mechanism since it widely exists in model-based polarimetric... 
The overestimation of volume scattering | model-based decomposition | Adaptation models | Solid modeling | Atmospheric modeling | Scattering | Picture archiving and communication systems | Matrix decomposition | Mathematical model | polarimetric synthetic aperture radar (PoISAR)
Conference Proceeding
REMOTE SENSING OF ENVIRONMENT, ISSN 0034-4257, 03/2018, Volume 206, pp. 300 - 317
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 10/2008, Volume 46, Issue 10, pp. 2999 - 3009
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 07/2015, Volume 164, pp. 179 - 196
Journal Article
IEEE Access, ISSN 2169-3536, 2018, Volume 6, pp. 1647 - 1661
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 12/2013, Volume 86, pp. 124 - 135
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 03/2013, Volume 51, Issue 3, pp. 1817 - 1825
Journal Article
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, ISSN 0303-2434, 06/2017, Volume 58, pp. 201 - 212
Polarimetric Synthetic Aperture Radar (PoISAR) data, thanks to their specific characteristics such as high resolution, weather and daylight independence, have... 
REMOTE SENSING | Polarimetric SAR data | Kernel-based C-means clustering | UNSUPERVISED CLASSIFICATION | PERFORMANCE | SEGMENTATION | Polarimetric decompositions | Multi-temporal | Crop mapping | Algorithms | Artificial satellites in remote sensing | Mathematical optimization | Analysis | Methods | Synthetic aperture radar
Journal Article
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