UM  > Faculty of Science and Technology
Multi-scale patch based box kernels for hyperspectral image classification
Peng J.2; Zhou Y.1; Chen C.L.P.1
Conference NameIEEE International Conference on Systems, Man, and Cybernetics (SMC)
Source PublicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Conference DateOCT 05-08, 2014
Conference PlaceSan Diego, CA

Integrating labeled pixels with prior knowledge of hyperspectral spatial homogeneous regions, we propose a region-based hyperspectral image classification method, called the support vector machine with the multi-scale patch based box kernel (SVM-MPBK). It models the local homogeneous region of each pixel as a box, and measures the similarity between different box regions using box kernel. The box is represented as multidimensional intervals computed band by band in a neighborhood pixel patch. Using multi-scale patches to calculate box, SVM-MPBK fuses the complementary classification results in different scales by a majority voting. Experimental results on benchmark hyperspectral data sets demonstrate the effectiveness of SVM-MPBK.

KeywordBox Kernels Classification Hyperspectral Image Multi-scale Support Vector Machine
URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000370963703055
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
Affiliation1.Universidade de Macau
2.Hubei University
Recommended Citation
GB/T 7714
Peng J.,Zhou Y.,Chen C.L.P.. Multi-scale patch based box kernels for hyperspectral image classification[C],2014:3203-3208.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Peng J.]'s Articles
[Zhou Y.]'s Articles
[Chen C.L.P.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Peng J.]'s Articles
[Zhou Y.]'s Articles
[Chen C.L.P.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Peng J.]'s Articles
[Zhou Y.]'s Articles
[Chen C.L.P.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.