Document Detail

Spatial-spectral method for classification of hyperspectral images.
MedLine Citation:
PMID:  23503225     Owner:  NLM     Status:  In-Data-Review    
Spatial-spectral approach with spatially adaptive classification of hyperspectral images is proposed. The rotation-invariant spatial texture information for each object is exploited and incorporated into the classifier by using the modified local Gabor binary pattern to distinguish different types of classes of interest. The proposed method can effectively suppress anisotropic texture in spatially separate classes as well as improve the discrimination among classes. Moreover, it becomes more robust with the within-class variation. Experimental results on the classification of three real hyperspectral remote sensing images demonstrate the effectiveness of the proposed approach.
Xiaoyong Bian; Tianxu Zhang; Luxin Yan; Xiaolong Zhang; Houzhang Fang; Hai Liu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Optics letters     Volume:  38     ISSN:  1539-4794     ISO Abbreviation:  Opt Lett     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-03-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7708433     Medline TA:  Opt Lett     Country:  United States    
Other Details:
Languages:  eng     Pagination:  815-7     Citation Subset:  IM    
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