DocumentCode
299350
Title
An experimental analysis of the use of grey level co-occurrence statistics for SAR-image classification
Author
Bruzzone, L. ; Pellegretti, P. ; Roli, F.
Author_Institution
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume
2
fYear
34881
fDate
10-14 Jul1995
Firstpage
1431
Abstract
An experimental analysis of the effectiveness of gray-level co-occurrence (GLC) statistics to characterize texture of SAR images for classification purposes is reported. The analysis was carried out on simulated SAR images
Keywords
geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; SAR image; SAR imaging; geophysical measurement technique; grey level co-occurrence statistics; image classification; image texture; land surface; radar remote sensing; synthetic aperture radar; terrain mapping; Adaptive optics; Analytical models; Image analysis; Image texture analysis; Optical filters; Optical sensors; Sensor phenomena and characterization; Signal to noise ratio; Speckle; Statistical analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.521771
Filename
521771
Link To Document