Effects of compression on classification performance and discriminant information preservation in remotely sensed data

Chulhee Lee, Sungwook Youn, Jeoung Yeol Baek, Joan Serra Sagristà

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish
Title of host publicationSatellite Data Compression, Communications, and Processing XI
EditorsYunsong Li, Chein-I Chang, Bormin Huang, Qian Du, Chulhee Lee
PublisherSPIE
ISBN (Electronic)9781628416176
DOIs
Publication statusPublished - 2015
EventSatellite Data Compression, Communications, and Processing XI - Baltimore, United States
Duration: 2015 Apr 232015 Apr 24

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9501
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSatellite Data Compression, Communications, and Processing XI
Country/TerritoryUnited States
CityBaltimore
Period15/4/2315/4/24

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

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