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

Volume

5

fYear

1998

fDate

6-10 Jul 1998

Firstpage

2590

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702288

Filename

702288