Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers

Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers

This article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping. In addition, this study analyzes the performance of this feature along with polarization and intensity products according to different classification strategi...

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Bibliographic Details
Main Authors: Alexander W. Jacob, Fernando Vicente-Guijalba, Carlos Lopez-Martinez, Juan M. Lopez-Sanchez, Marius Litzinger, Harald Kristen, Alejandro Mestre-Quereda, Dariusz Ziolkowski, Marco Lavalle, Claudia Notarnicola, Gopika Suresh, Oleg Antropov, Shaojia Ge, Jaan Praks, Yifang Ban, Eric Pottier, Jordi Joan Mallorqui Franquet, Javier Duro, Marcus E. Engdahl
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Copernicus
interferometric coherence
land cover mapping
Sentinel-1
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/8966616/

Internet

https://ieeexplore.ieee.org/document/8966616/

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