Title :
Illumination invariant unmixing of sets of mixed pixels
Author :
Faraklioti, Maria ; Petrou, Maria
Author_Institution :
Sch. of Electronics, Comput. & Math., Surrey Univ., Guildford, UK
fDate :
10/1/2001 12:00:00 AM
Abstract :
The authors propose some statistics of distributions of sets of pixels corresponding to rough surfaces, which are illumination invariant and therefore they can characterize the distributions irrespective of the solar angle. The illumination invariant statistics are used to solve the linear spectral unmixing problem for sets of mixed pixels, taking into consideration the distortion introduced to the statistics due to surface texture. The spectral unmixing of sets of mixed pixels is formulated in terms of the invariant statistics and the method is demonstrated using simulated data
Keywords :
geophysical signal processing; geophysical techniques; image classification; image processing; remote sensing; terrain mapping; geophysical measurement technique; illumination invariant unmixing; image classification; land surface; linear spectral unmixing problem; mixed pixel set; mixed pixels; remote sensing; rough surface; solar angle; statistics; subpixel classification; surface texture; terrain mapping; Fractals; Layout; Lighting; Radiometry; Remote sensing; Rough surfaces; Statistical distributions; Surface roughness; Surface texture; Surface topography;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on