Results 121 to 130 of about 621 (141)
Evaluation Model Based on the SGCNiFormer for the Influence of Different Storage Environments on Wheat Quality. [PDF]
Zhang Q, Song Z, Bi M.
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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data. [PDF]
Zhou W +7 more
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International Journal of Remote Sensing, 2020
Polarimetric Synthetic Aperture Radar (PolSAR) is one of the most important remote sensing tools.
Jodavid A. Ferreira +2 more
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Polarimetric Synthetic Aperture Radar (PolSAR) is one of the most important remote sensing tools.
Jodavid A. Ferreira +2 more
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IEEE International Geoscience and Remote Sensing Symposium, 2003
The use of C- and L-band polarimetric synthetic aperture radar (POLSAR) data for classifying land cover features in a tropical area is investigated in this study. The POLSAR data were acquired during the NASA/JPL PACRIM-1 mission over the northern part of Peninsular Malaysia on 3rd December 1996. Prior to classification, the Lee polarimetric filter was
Ken Yoong Lee +2 more
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The use of C- and L-band polarimetric synthetic aperture radar (POLSAR) data for classifying land cover features in a tropical area is investigated in this study. The POLSAR data were acquired during the NASA/JPL PACRIM-1 mission over the northern part of Peninsular Malaysia on 3rd December 1996. Prior to classification, the Lee polarimetric filter was
Ken Yoong Lee +2 more
openaire +1 more source
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
IEEE Geoscience and Remote Sensing Letters, 2021Qian Shi, Shengjie Liu, Haowen Luo
exaly
Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images
IEEE Transactions on Geoscience and Remote Sensing, 2019Stéphane Meric, Nizar Bouhlel
exaly
Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics
Remote Sensing, 2013Kazuo Ōuchi
exaly

