A spatial information measure method for hyperspectral image visualization
This paper presents a new band selection method for the visualization of hyperspectral images. The method selects three relevant spectral bands to build the red-green-blue composite. The proposed method uses not only mutual information, but also spatial information to select the bands. Results from...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/14613 |
| _version_ | 1848748669592928256 |
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| author | Amankwah, A. Aldrich, Chris |
| author_facet | Amankwah, A. Aldrich, Chris |
| author_sort | Amankwah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a new band selection method for the visualization of hyperspectral images. The method selects three relevant spectral bands to build the red-green-blue composite. The proposed method uses not only mutual information, but also spatial information to select the bands. Results from the proposed method are presented and compared to other state-of-the-art methods in terms of informative content, gradient magnitude and variance. The results show that the proposed method compares favourably with alternative approaches. |
| first_indexed | 2025-11-14T07:08:43Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14613 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:08:43Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-146132017-09-13T15:34:03Z A spatial information measure method for hyperspectral image visualization Amankwah, A. Aldrich, Chris This paper presents a new band selection method for the visualization of hyperspectral images. The method selects three relevant spectral bands to build the red-green-blue composite. The proposed method uses not only mutual information, but also spatial information to select the bands. Results from the proposed method are presented and compared to other state-of-the-art methods in terms of informative content, gradient magnitude and variance. The results show that the proposed method compares favourably with alternative approaches. 2015 Conference Paper http://hdl.handle.net/20.500.11937/14613 10.1109/IGARSS.2015.7326838 restricted |
| spellingShingle | Amankwah, A. Aldrich, Chris A spatial information measure method for hyperspectral image visualization |
| title | A spatial information measure method for hyperspectral image visualization |
| title_full | A spatial information measure method for hyperspectral image visualization |
| title_fullStr | A spatial information measure method for hyperspectral image visualization |
| title_full_unstemmed | A spatial information measure method for hyperspectral image visualization |
| title_short | A spatial information measure method for hyperspectral image visualization |
| title_sort | spatial information measure method for hyperspectral image visualization |
| url | http://hdl.handle.net/20.500.11937/14613 |