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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong Wang Xiangbin Wu Dongmei Lin |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science and Technology Foshan University Foshan, Guangdong 528000, China (Dong Wang) || Center of Information and Education Technology Foshan University Foshan, Guangdong 528000, China (Dongmei Lin) || College of Geosciences and Environmental Engineering Central South University Changsha, Hunan 410083, China (Xiangbin Wu) |
| Abstract | Mixel decomposition of remote sensing images is one of valid assistance means for improving quality of feature extraction from the images. Some problems exist in normal linear mixels decomposition, for example, registration error is too large, and neighbourhood information can be took full advantage of and so on. These result in that distortion of new images generated after linear mixels decomposition is more serious. Aiming at an above-mentioned circumstance, particle swarm intelligence searching method is put forward in this paper. New algorithm implements mixel decomposition of remote sensing images, combined with linear mixels decomposition model. The algorithm takes full advantage of neighbourhood information, makes the decomposition result more human, and presents better robustness to environment. |
| Starting Page | 212 |
| Ending Page | 216 |
| File Size | 1634216 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447947 |
| DOI | 10.1109/ICAL.2009.5262925 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans swarm intelligence search Educational technology linear mixels decomposition Reflection Particle swarm optimization Remote sensing Equations Least squares methods Geoscience and remote sensing Clustering algorithms mixel decomposition Robustness remote sensing images particle swarm intelligence |
| Content Type | Text |
| Resource Type | Article |
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