DocumentCode
576327
Title
A novel over-segmentation method for polarimetric SAR images classification
Author
He, Chu ; Den, Jingbo ; Xu, Lianyu ; Li, Shuang ; Duan, Mengmeng ; Liao, Mingsheng
Author_Institution
Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
fYear
2012
fDate
22-27 July 2012
Firstpage
4299
Lastpage
4302
Abstract
This paper, we propose a novel over-segmentation method Feature Geometry Space Fusion (FGSF) for polarimetric SAR (POLSAR) data classification, which uses the polarimetric feature and geometric feature. In order to exam its performance, experiments on the data acquired by AIRSAR show that the over segment regions segmented by FGSF method performs better than mean shift when used for classification.
Keywords
feature extraction; image classification; image segmentation; radar imaging; synthetic aperture radar; AIRSAR; FGSF method; POLSAR data classification; geometric feature; over-segmentation method feature geometry space fusion; polarimetric SAR data classification; polarimetric SAR image classification; polarimetric feature; Abstracts; Accuracy;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351717
Filename
6351717
Link To Document