Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data land cover classification

Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data land cover classification

This paper presents Pol-InSAR-Island, the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with detailed land cover classes, which serves as a challenging benchmark dataset for land cover classification. In recent years, machi...

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Bibliographic Details
Main Authors: Sylvia Hochstuhl, Niklas Pfeffer, Antje Thiele, Stefan Hinz, Joel Amao-Oliva, Rolf Scheiber, Andreas Reigber, Holger Dirks
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Pol-InSAR
Multi-frequency
Benchmark dataset
Land cover classification
Machine learning
Wishart classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393223000182

Internet

http://www.sciencedirect.com/science/article/pii/S2667393223000182

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