Compression of hyperspectral images with enhanced discriminant features

Chulhee Lee, Euisun Choi

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

7 Citations (Scopus)

Abstract

We propose compression algorithms for hyperspectral images with enhanced discriminant features. As the dimension of remotely sensed images increases, the need for efficient compression algorithms for hyperspectral images also increases. However, when hyperspectral images are compressed with conventional image compression algorithms, which have been developed to minimize mean squared errors, discriminant features of the original data may be lost during the compression process. In this paper, we propose to apply preprocessing prior to compression in order to preserve such discriminant information. In particular, we enhance discriminant features before a compression algorithm is applied. Experiments show that the proposed method provides improved classification accuracies than the existing compression algorithms.

Original languageEnglish
Title of host publication2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-79
Number of pages4
ISBN (Electronic)0780383508, 9780780383500
DOIs
Publication statusPublished - 2004 Jan 1
Event2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data - Greenbelt, United States
Duration: 2003 Oct 272003 Oct 28

Publication series

Name2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Other

Other2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
CountryUnited States
CityGreenbelt
Period03/10/2703/10/28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Lee, C., & Choi, E. (2004). Compression of hyperspectral images with enhanced discriminant features. In 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (pp. 76-79). [1295176] (2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WARSD.2003.1295176