A NOVEL SATELLITE IMAGE SEGMENTATION USING VGGNET
The Satellite image classification technique is included the grouping of values of image pixels within the substantial groups. However, satellite image segmentation have involved various kinds of procedures and approaches. Three types of techniques of satellite image classification are automatic, hybrid, and manual which are having individual advantages and disadvantages. In the 1st group, most of the methods of satellite image classification are made classified. By relying on the requirements of the satellite image classification, the suitable technique of classification is to be chosen. To assess the remote sensing measurements frequently out of a space platform, a plain graphical indicator is developed that assists in evaluating the target which is identified with live green vegetation is called as normalized difference vegetation index (NDVI). Based on pixel feature extraction and classification using VggNet. According to color and texture, the satellite image is segmented into small regions and these segments are further made into classification of different regions with the use of VggNet.