Abstract
A number of compression methods have been used to compress hyperspectral images. However, these methods may fail to retain all the discriminant characteristics of hyperspectral images since some discriminant features may not be high in signal energy. Also, it has been reported that compression may improve classification performance in some cases. In this paper, we investigate these problems, and analyze potential discriminant information loss and classification performance improvement. We perform some experiments using various compression methods. We examine this phenomenon and its implication.
Original language | English |
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Title of host publication | Satellite Data Compression, Communications, and Processing XI |
Editors | Yunsong Li, Chein-I Chang, Bormin Huang, Qian Du, Chulhee Lee |
Publisher | SPIE |
ISBN (Electronic) | 9781628416176 |
DOIs | |
Publication status | Published - 2015 |
Event | Satellite Data Compression, Communications, and Processing XI - Baltimore, United States Duration: 2015 Apr 23 → 2015 Apr 24 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9501 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Other
Other | Satellite Data Compression, Communications, and Processing XI |
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Country/Territory | United States |
City | Baltimore |
Period | 15/4/23 → 15/4/24 |
Bibliographical note
Publisher Copyright:© 2015 SPIE.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering