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

Satellite-borne synthetic aperture radar has proven to be a valuable tool for sea ice monitoring for more than two decades. In this study, we examine the performance of an automated sea ice classification algorithm based on polarimetric TerraSAR-X images. In the first step of our approach, we extrac...

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Principais autores: Rudolf Ressel, Suman Singha, Susanne Lehner, Anja Rosel, Gunnar Spreen
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2016-01-01
Serier:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:
Artificial neural network (ANN)
feature evaluation
polarimetry
sea ice classification
TerraSAR-X
Online adgang:https://ieeexplore.ieee.org/document/7529171/
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