Title :
Robust mixed pixel classification using the hypothesis testing Hough transform
Author :
Bosdogianni, P. ; Petrou, M. ; Kittler, J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Abstract :
A novel method is presented for mixed pixel classification where the classification of groups of mixed pixels is achieved by using robust statistics. The method is demonstrated using simulated data and is also applied to real Landsat TM data
Keywords :
Hough transforms; forestry; geophysical signal processing; geophysical techniques; heuristic programming; image classification; remote sensing; Landsat TM; forest; forestry; geophysical measurement technique; hypothesis testing Hough transform; image classification; image processing; land surface; mixed pixels; multispectral remote sensing; optical imaging; robust mixed pixel classification; robust statistics; terrain mapping; vegetation mapping; Electronic equipment testing; Electronic mail; Equations; Kernel; Least squares methods; Monitoring; Remote sensing; Robustness; Satellites; Statistical analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516668
