Title :
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
fDate :
1/1/1991 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
