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Santhosh Saravanan
AMET University, Chennai.

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GIS Based Satellite Image Denoising Using Curvelet Transform S. Sinthuja; Santhosh Saravanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp654-656

Abstract

Generally, satellite images contain very significant information about geographical features such as rivers, roads, building and bridges etc of the earth. Geographic Information System (GIS) requires these features for automatic detection and it has been corrupted by various types of noise. Curvelet Transform (CT) is used in the proposed system for denoising the images. Advantages of multi resolution image such as line, compatibility of human visual system and edge detection are provided. Then K-Means clustering is used in this system for segmentation purpose after the pre processing done.First, K-Means algorithm is used for segmenting background and water then extraction of bridges is done based on pixel intensity difference.   
Co-Authors S. Sinthuja