GRANULOMETRIC MAPS FROM HIGH RESOLUTION SATELLITE IMAGES

Granulometric Maps from High Resolution Satellite Images

A new method of land cover mapping from satellite images using granulometric analysis is presented here. Discontinuous landscapes such as steppian bushes of semi arid regions and recently growing urban settlements are especially concerned by this study. Spatial organisations of the land cover are quantified by means of the size distribution analysis of the land cover units extracted from high r...

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Road Extraction from High Resolution Satellite Images

Roads are significant objects of an infrastructure and the extraction of roads from aerial and satellite images are important for different applications such as automated map generation and change detection. Roads are also important to detect other structures such as buildings and urban areas. In this paper, the road extraction approach is based on Active Contour Models for 1-meter resolution g...

Building Extraction from High Resolution Satellite Images

A method for automatic building extraction from high resolution satellite image is given. First, the image is segmented by using the split and merge segmentation. Then the segmented image is filtered by applying different filters. After filtering the output raster image is converted into vector image and then the buildings are extracted on the basis of area from the vector image. Finally, the c...

Multi Resolution Fuzzy Segmentation of Satellite Images