Title :
Textural classification of high resolution digital satellite imagery
Author :
Shaban, M.A. ; Dikshit, Onkar
Author_Institution :
Dept. of Civil Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
This paper presents investigations with digital spectral and textural classification of urban environment using SPOT XS imagery and grey level co-occurrence matrix (GLCM) approach. The results indicate that a combination of texture and spectral features significantly improves the classification accuracy compared to a classification with pure spectral features only. This improvement is about 9% for an addition of one texture feature
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image classification; image texture; multidimensional signal processing; remote sensing; terrain mapping; SPOT; XS imagery; accuracy; geophysical measurement technique; grey level co-occurrence matrix; high resolution image; image classification; image processing; image texture; land surface; multispectral remote sensing; optical imaging; satellite remote sensing; spectral feature; terrain mapping; urban; Cities and towns; Civil engineering; Electronic mail; Image resolution; Performance evaluation; Quantization; Radiometry; Satellites; Statistical analysis; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702288
