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Classification of Hunshandake Sandy Land Based on Polarimetric Sar Data
- 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.
- Subjects :
- Polarimetric sar
Terrain classification
Polarimetric synthetic aperture radar
0202 electrical engineering, electronic engineering, information engineering
Classification methods
020201 artificial intelligence & image processing
Terrain
Satellite
02 engineering and technology
Land based
Geology
Remote sensing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
- Accession number :
- edsair.doi...........cd95262cd904036357b74f5a623d91fc