Grouping images into semantically meaningful categories using low-level
visual feature is a challenging and important problem in content-based image
retrieval. The groupings can be used to build effective indices for an image
database. Digital image analysis techniques are being used widely in remote
sensing assuming that each terrain surface category is characterized with
spectral signature observed by remote sensors. Even with the remote sensing
images of IRS data, integration of spatial information is expected to assist
and to improve the image analysis of remote sensing data.