Study on the quality of hyperspectral vegetation data observed in the field

Author

Shuai, Yanmin ; Zhu, Qijiang ; Tang, Shihao ; Liu, Shuhong ; Hu, Jiacong

Author_Institution

Dept. Geogr., Beijing Normal Univ., China

Volume

6

fYear

2003

fDate

21-25 July 2003

Firstpage

3626

Abstract

A measurement model on spectra quality is presented through a bigram composed of a spectra quality grade and a metadata integrality grade. Quantitative describing datasets and qualitative describing datasets of spectra quality are extracted with spectra enveloping line analysis, spectra line profile analysis, principles of relative parameters matching and spectra prior knowledge. The quality grade is converted from subordinative degree of eigenpoints and eigenvalues from quantitative datasets. The metadata integrality grade is obtained by visiting each node in a multicross tree by which metadata about vegetation spectra is organized. The two grades make up a bigram by which one can evaluate vegetation spectra quality.

Keywords

eigenvalues and eigenfunctions; spectral line breadth; vegetation mapping; eigenpoints; eigenvalues; hyperspectral vegetation data; measurement model; metadata integrality grade; multicross tree; parameters matching; spectra enveloping line analysis; spectra quality grade; Cities and towns; Data mining; Databases; Eigenvalues and eigenfunctions; Geography; Hyperspectral imaging; Hyperspectral sensors; Remote sensing; Signal analysis; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294875

Filename

1294875