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Satellite Image Feature Extraction


Dheeraj Kanojia , Thakur college of Engineering and Technology; Ankit Chaurasia , Thakur college of Engineering and Technology


Satellite Image, Feature Extraction, Civil Engineering, Decision Tree


Natural or man-made objects extracted from Google earth has been used for many different purpose, e.g. Military, map publishing, transportation, car navigation, etc. Automatic natural objects (road, building, forest, water body etc.) extractions are a challenging problem, and no existing software is able to perform the task reliably. Since manual extraction of natural objects from imagery is very time consuming, automatic method have the potential to improve the speed and utility for military and civil application and are therefore highly desirable. Google Earth is a virtual globe, map and geographic information program that were originally called Earth Viewer. In this paper we are presenting the image classification using decision tree. The image objects are given color code and after processing the image is colored according the objects present. There are four classes developed, water, forest, mangroves and settlement. Water includes the water bodies present in the region. Vegetation includes the trees, plantations, greenery. Others include the remaining land areas. And last class includes the manmade structures which cover all the structures such as buildings, roads, bridges, etc.

Other Details

Paper ID: IJSRDV2I3008
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 257-259

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