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

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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Bibliographic Details
Main Authors: Rudolf Ressel, Suman Singha, Susanne Lehner, Anja Rosel, Gunnar Spreen
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial neural network (ANN)
feature evaluation
polarimetry
sea ice classification
TerraSAR-X
Online Access:https://ieeexplore.ieee.org/document/7529171/

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