Paper
2 June 2015 Effects of compression on classification performance and discriminant information preservation in remotely sensed data
Chulhee Lee, Sungwook Youn, Jeoung Yeol Baek, Joan Serra Sagristà
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chulhee Lee, Sungwook Youn, Jeoung Yeol Baek, and Joan Serra Sagristà "Effects of compression on classification performance and discriminant information preservation in remotely sensed data", Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 950103 (2 June 2015); https://doi.org/10.1117/12.2180223
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Cited by 1 scholarly publication.
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KEYWORDS
JPEG2000

Image compression

Hyperspectral imaging

Signal to noise ratio

Image classification

3D image reconstruction

Wavelets

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