Title :
Confidence in linear spectral unmixing of single pixels
Author :
Petrou, Maria ; Foschi, Patricia G.
Author_Institution :
Surrey Univ., Guildford, UK
fDate :
1/1/1999 12:00:00 AM
Abstract :
The authors propose a method that estimates the membership of a mixed pixel in various possible mixture proportions. The method relies on the creation of model mixtures and the estimation of their local density in the vicinity of the pixel under consideration
Keywords :
fuzzy set theory; geophysical signal processing; geophysical techniques; image classification; multidimensional signal processing; remote sensing; terrain mapping; fixture proportion; fuzzy set; geophysical measurement technique; image classification; land surface; linear spectral unmixing; membership; method; mixed pixel; model mixtures; multispectral remote sensing; optical imaging; single pixel; single pixels; terrain mapping; Equations; Fuzzy sets; Fuzzy systems; Image classification; Information processing; Layout; Pixel; Probability; Remote sensing; Uncertainty;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
