DETECTION AND EXTRACTION OF VEGETATION AREA FROM SATELLITE IMAGES

The overall growth of the population and continuing migration to urban increases the demand to meet sustainability in the city. Further, urbanization increases the development of buildings and reduces vegetation. This study focuses on detection and extraction of vegetation in urban using image processing from high resolution satellite images. Here, in this paper four steps are used to detect the tree crown, Detection of the Vegetation area and masking of the Non-vegetation area, the clustering of the input image, The GLCM of Texture analysis algorithm is used to find the hard and smooth surface of the vegetation area in the image. Finally, vegetation area is extracted by using a region-based segmentation process.