multiple sensors, and related information from associated databases, to achieve improved accuracy and more specific inferences that could be achieved by the use of single sensor alone (Hall and Llinas, 1997). Integration of disparate data sources is a problem that is being investigated for several years. Methodologies for integrating different data sources can be divided into two major categories, viz., sensor dependent and those that are sensor independent (KrishnaMohan et al., 2000). In the former, specific image formation models are incorporated into the analysis process. Solberg et al. (1994) attempted to fuse LANDSAT-TM and SAR images using SAR specific image formation model. This has the advantage of using most appropriate features for analysing the image data. Sensor independent approaches are based mainly on integrating segmentation maps produced by analysing data sets individually. Our study belongs to the second category. Sensor independent approaches are based mainly on integrating segmentation maps produced by analysing data sets individually. For instance, region boundaries produced by textural segmentation of SAR images can be merged with intensity edges produced from visible/infrared images. Here it is assumed that the segmentation procedures applied to individual data sets are responsible for accounting for all the sensor related issues and the integration module is independent of the origin of various segmentation maps input to it. Image fusion can be performed at three different processing levels such as pixel or data level fusion, feature level fusion, and decision or interpretation level fusion (Varshney, 1997; Pohl and Genderen, 1998). Le Moigne and Tilton (1995) integrated edge and region data for refined image segmentation and applied it to segmenting LANDSAT TM data. KrishnaMohan et al. (2000) suggested IRS image classification by fuzzy k-means clustering and fuzzy set theoretic integration of landuse /landcover data of two dates. The studies on change detection based on differencing radiometrically-normalized images have been performed (Fung
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