Title

Efficient algorithm for multispectral data coding using approximate trigonometric expansions

Abstract

Images obtained from satellite and airborne multispectral collection platforms exhibit a high degree of spatial and spectral correlations that must be properly exploited in any multispectral bandwidth compression scheme. Removing the inherent spectral correlation in the data results in a significant compaction of data to be coded. Discrete approximate trigonometric expansions have previously been proposed for exploiting spatial correlation in 1D signals and images for the purpose of coding.In this paper, we apply the approximate trigonometric expansions to multispectral data, and explore their capability of spectral decorrelation across bands. We show that the compression algorithms employing approximate trigonometric expansions to multispectral imagery provide fast implementation and some how better spectral decorrelation efficiency than discrete cosine transform. For comparison purposes, the results are compared with the techniques employing the discrete cosine transform. Computer simulation results are presented.

Publication Date

12-1-1997

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

3071

Number of Pages

191-202

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0031384494 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0031384494

This document is currently not available here.

Share

COinS