Multiple‐component polarimetric decomposition with new volume scattering models for PolSAR urban areas
Author:
Affiliation:
1. College of Electronic Science and EngineeringNational University of Defense TechnologyDeya Street 109ChangshaPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2016.0105
Reference26 articles.
1. Tsunami damage investigation of built‐up areas using multitemporal spaceborne full polarimetric SAR images;Chen S.;IEEE Trans. Geosci. Remote Sens.,2013
2. Urban‐area extraction from polarimetric SAR images using polarization orientation angle;Kajimoto M.;IEEE Geosci. Remote Sens. Lett.,2013
3. Land Cover and Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network
4. PolSAR Mosaic Normalization for improved land‐cover mapping;Antropov O.;IEEE Geosci. Remote Sens. Lett.,2012
5. Multitemporal Radarsat‐2 polarimetric SAR data for urban land cover classification using an object‐based support vector machine and a rule‐based approach;Niu X.;Int. J. Remote Sens.,2013
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