A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method
Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based supervised HSI classification method in this pa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/4/397 |
| _version_ | 1819001970659164160 |
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| author | Wei Wei Mengting Ma Cong Wang Lei Zhang Peng Zhang Yanning Zhang |
| author_facet | Wei Wei Mengting Ma Cong Wang Lei Zhang Peng Zhang Yanning Zhang |
| author_sort | Wei Wei |
| collection | DOAJ |
| description | Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based supervised HSI classification method in this paper. In the proposed method, the dictionary is modeled considering both the characteristics within the spectrum and among the spectra. Specifically, to reduce the influence of strong nonlinearity within each spectrum on classification, we divide the spectrum into some segments, and based on this we propose HSI classification strategy. To preserve the relationships among spectra, similarities among pixels are introduced as constraints. Experimental results on several benchmark hyperspectral datasets demonstrate the effectiveness of the proposed method for HSI classification. |
| first_indexed | 2024-12-20T22:57:40Z |
| format | Article |
| id | doaj.art-66a48f018f2c4ea6a50e1c209d8d53f6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T22:57:40Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-66a48f018f2c4ea6a50e1c209d8d53f62022-12-21T19:24:04ZengMDPI AGRemote Sensing2072-42922019-02-0111439710.3390/rs11040397rs11040397A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification MethodWei Wei0Mengting Ma1Cong Wang2Lei Zhang3Peng Zhang4Yanning Zhang5School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, The University of Adelaide, Adelaide 5000, AustraliaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSupervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based supervised HSI classification method in this paper. In the proposed method, the dictionary is modeled considering both the characteristics within the spectrum and among the spectra. Specifically, to reduce the influence of strong nonlinearity within each spectrum on classification, we divide the spectrum into some segments, and based on this we propose HSI classification strategy. To preserve the relationships among spectra, similarities among pixels are introduced as constraints. Experimental results on several benchmark hyperspectral datasets demonstrate the effectiveness of the proposed method for HSI classification.https://www.mdpi.com/2072-4292/11/4/397dictionary learningsparse representationhyperspectral image classificationsupervised method |
| spellingShingle | Wei Wei Mengting Ma Cong Wang Lei Zhang Peng Zhang Yanning Zhang A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method Remote Sensing dictionary learning sparse representation hyperspectral image classification supervised method |
| title | A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method |
| title_full | A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method |
| title_fullStr | A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method |
| title_full_unstemmed | A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method |
| title_short | A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method |
| title_sort | novel analysis dictionary learning model based hyperspectral image classification method |
| topic | dictionary learning sparse representation hyperspectral image classification supervised method |
| url | https://www.mdpi.com/2072-4292/11/4/397 |
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