The least-squares mixing models to generate fraction images derived from remote sensing multispectral data

Author

Shimabukuro, Yosio Edemir ; Smith, James A.

Author_Institution

Inst. de Pesquisas Espaciais, Sao Paulo, Brazil

Volume

29

Issue

1

fYear

1991

fDate

1/1/1991 12:00:00 AM

Firstpage

16

Lastpage

20

Abstract

Constrained-least-squares (CLS) and weighted-least-squares (WLS) mixing models for generating fraction images derived from remote sensing multispectral data are presented. An experiment considering three components within the pixels-eucalyptus, soil (understory), and shade-was performed. The generated fraction images for shade (shade image) derived from these two methods were compared by considering the performance and computer time. The derived shade images are related to the observed variation in forest structure, i.e. the fraction of inferred shade in the pixel is related to different eucalyptus ages

Keywords

computerised picture processing; geophysics computing; least squares approximations; remote sensing; ages; constrained least squares mixing models; eucalyptus; forest structure; fraction images; remote sensing multispectral data; shade; soil; weighted least squares mixing models; Helium; Image generation; Instruments; Least squares methods; Pixel; Reflectivity; Remote sensing; Satellites; Sensor phenomena and characterization; Soil;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.103288

Filename

103288