Back to Search Start Over

Classification of Hunshandake Sandy Land Based on Polarimetric Sar Data

Authors :
Wei Xu
Pingping Huang
Weixian Tan
He Tingting
Source :
IGARSS
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

It is difficult to classify Hunshandake sandy land due to complex terrain, an improved classification method is proposed in this paper to promote the effect of classification. Firstly, scattering characteristics of ground objects are extracted. Then, the extracted features is combined to Jensen-Bregman logDet(JBLD) for classification. Finally, Hunshandake sandy land obtained by Radarsat-2 satellite is classified to verify the effectiveness of the method.

Details

Database :
OpenAIRE
Journal :
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Accession number :
edsair.doi...........cd95262cd904036357b74f5a623d91fc