Illumination invariant unmixing of sets of mixed pixels

Author

Faraklioti, Maria ; Petrou, Maria

Author_Institution

Sch. of Electronics, Comput. & Math., Surrey Univ., Guildford, UK

Volume

39

Issue

10

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

2227

Lastpage

2234

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.957285

Filename

957285