BINARY CODING OF IMAGING SPECTROMETER DATA FOR FAST SPECTRAL MATCHING AND CLASSIFICATION

被引：40

作者：

JIA, XP ^{[1
]}

RICHARDS, JA ^{[1
]}

机构：

[1] UNIV COLL NEW S WALES,AUSTRALIAN DEF FORCE ACAD,DEPT ELECT ENGN,CAMPBELL,ACT 2600,AUSTRALIA

来源：

REMOTE SENSING OF ENVIRONMENT | 1993年 / 43卷 / 01期

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1016/0034-4257(93)90063-4

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Several simple binary codes are applied to AVIRIS data to develop a spectral representation that facilitates efficient library searching in applications where identification is dependent on matching a measured spectrum against library prototypes. Excellent results are demonstrated using libraries generated by clustering image segments, suggesting the value of the procedure in general. Drawing on this experience, it is shown that good thematic mapping can also be achieved with spectra that have been binary-coded, using algorithms based on minimum Hamming distance measures.

引用

页码：47 / 53

页数：7