Authors
Peijun Du, Alim Samat, Björn Waske, Sicong Liu, Zhenhong Li
Publication date
2015/7/31
Journal
ISPRS Journal of Photogrammetry and Remote Sensing
Volume
105
Pages
38-53
Publisher
Elsevier
Description
Fully Polarimetric Synthetic Aperture Radar (PolSAR) has the advantages of all-weather, day and night observation and high resolution capabilities. The collected data are usually sorted in Sinclair matrix, coherence or covariance matrices which are directly related to physical properties of natural media and backscattering mechanism. Additional information related to the nature of scattering medium can be exploited through polarimetric decomposition theorems. Accordingly, PolSAR image classification gains increasing attentions from remote sensing communities in recent years. However, the above polarimetric measurements or parameters cannot provide sufficient information for accurate PolSAR image classification in some scenarios, e.g. in complex urban areas where different scattering mediums may exhibit similar PolSAR response due to couples of unavoidable reasons. Inspired by the complementarity …
Scholar articles
P Du, A Samat, B Waske, S Liu, Z Li - ISPRS journal of photogrammetry and remote sensing, 2015