Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification
This paper presents a new, dictionary-based method for hyperspectral image classification, which incorporates both spectral and contextual characteristics of a sample clustered to obtain a dictionary of each pixel. The resulting pixels display a common sparsity pattern in identical clustered groups....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2015/678765 |
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| _version_ | 1832548921590677504 |
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| author | Zhen-tao Qin Wu-nian Yang Ru Yang Xiang-yu Zhao Teng-jiao Yang |
| author_facet | Zhen-tao Qin Wu-nian Yang Ru Yang Xiang-yu Zhao Teng-jiao Yang |
| author_sort | Zhen-tao Qin |
| collection | DOAJ |
| description | This paper presents a new, dictionary-based method for hyperspectral image classification, which incorporates both spectral and contextual characteristics of a sample clustered to obtain a dictionary of each pixel. The resulting pixels display a common sparsity pattern in identical clustered groups. We calculated the image’s sparse coefficients using the dictionary approach, which generated the sparse representation features of the remote sensing images. The sparse coefficients are then used to classify the hyperspectral images via a linear SVM. Experiments show that our proposed method of dictionary-based, clustered sparse coefficients can create better representations of hyperspectral images, with a greater overall accuracy and a Kappa coefficient. |
| format | Article |
| id | doaj-art-d12d56e8a124400eadb348584af83a07 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-d12d56e8a124400eadb348584af83a072025-02-03T06:12:47ZengWileyJournal of Spectroscopy2314-49202314-49392015-01-01201510.1155/2015/678765678765Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image ClassificationZhen-tao Qin0Wu-nian Yang1Ru Yang2Xiang-yu Zhao3Teng-jiao Yang4Key Laboratory of Geo-Special Information Technology, Ministry of Land and Resources, Institute of Remote Sensing & GIS, Chengdu University of Technology, Chengdu, Sichuan 610059, ChinaKey Laboratory of Geo-Special Information Technology, Ministry of Land and Resources, Institute of Remote Sensing & GIS, Chengdu University of Technology, Chengdu, Sichuan 610059, ChinaPanzhihua College, Panzhihua, Sichuan 617000, ChinaPanzhihua College, Panzhihua, Sichuan 617000, ChinaPanzhihua College, Panzhihua, Sichuan 617000, ChinaThis paper presents a new, dictionary-based method for hyperspectral image classification, which incorporates both spectral and contextual characteristics of a sample clustered to obtain a dictionary of each pixel. The resulting pixels display a common sparsity pattern in identical clustered groups. We calculated the image’s sparse coefficients using the dictionary approach, which generated the sparse representation features of the remote sensing images. The sparse coefficients are then used to classify the hyperspectral images via a linear SVM. Experiments show that our proposed method of dictionary-based, clustered sparse coefficients can create better representations of hyperspectral images, with a greater overall accuracy and a Kappa coefficient.http://dx.doi.org/10.1155/2015/678765 |
| spellingShingle | Zhen-tao Qin Wu-nian Yang Ru Yang Xiang-yu Zhao Teng-jiao Yang Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification Journal of Spectroscopy |
| title | Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification |
| title_full | Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification |
| title_fullStr | Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification |
| title_full_unstemmed | Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification |
| title_short | Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification |
| title_sort | dictionary based clustered sparse representation for hyperspectral image classification |
| url | http://dx.doi.org/10.1155/2015/678765 |
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