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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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Neural network based automatic sea ice classification for CL-pol RISAT-1 imagery., , and . IGARSS, page 4835-4838. IEEE, (2016)Comparing automated sea ice classification on single-pol and dual-pol TerraSAR-X data., , and . IGARSS, page 3442-3445. IEEE, (2015)Multi-frequency and multi-polarization analysis of oil slicks using TerraSAR-X and RADARSAT-2 data., , and . IGARSS, page 4035-4038. IEEE, (2016)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)Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (8): 3504-3514 (2017)Comparing Near Coincident Space Borne C and X Band Fully Polarimetric SAR Data for Arctic Sea Ice Classification., and . Remote Sensing, 8 (3): 198 (2016)A Neural Network-Based Classification for Sea Ice Types on X-Band SAR Images., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (7): 3672-3680 (2015)First tests on near real time ice type classification in Antarctica., , , , , and . IGARSS, page 4876-4879. IEEE, (2014)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)A parameter identification problem involving a nonlinear parabolic differential equation (Ein Parameteridentifikationsproblem in einer nichtlinearen parabolischen Differentialgleichung). Bremen University, Germany, (2012)base-search.net (ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/336).