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Investigation into Different Polarimetric Features for Sea Ice Classification Using X-Band Synthetic Aperture Radar.

, , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (7): 3131-3143 (2016)

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Detection and classification of oil spill and look-alike spots from SAR imagery using an Artificial Neural Network., , and . IGARSS, page 5630-5633. IEEE, (2012)Neural network based automatic sea ice classification for CL-pol RISAT-1 imagery., , and . IGARSS, page 4835-4838. IEEE, (2016)Assessment of Simulated Compact Polarimetry of the RCM Medium Resolution sar Modes for Oil Spill Detection., , , , and . IGARSS, page 2416-2419. IEEE, (2018)Oil spill detection using simulated radarsat constellation mission compact polarimetric SAR data., , , and . IGARSS, page 4582-4585. IEEE, (2017)Fully Automated Sar Based Oil Spill Detection Using Yolov4., , and . IGARSS, page 5303-5306. IEEE, (2021)Year-Around C- and L- Band Observation Around the Mosaic Ice Floe with High Spatial and Temporal Resolution., , , , , and . IGARSS, page 5509-5512. IEEE, (2021)Automating Sea Ice Characterisation from X-Band SAR with Co-Located Airborne Laser Scanner Data Obtained During the Mosaic Expedition., , , and . IGARSS, page 2624-2627. IEEE, (2021)Satellite Oil Spill Detection Using Artificial Neural Networks., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (6): 2355-2363 (2013)Superposition of Sea Ice Classification Based on Synthetic Aperture Radar Images Considering Underlying Drift., , and . IGARSS, page 4206-4209. IEEE, (2019)A Combination of Traditional and Polarimetric Features for Oil Spill Detection Using TerraSAR-X., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (11): 4979-4990 (2016)