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Adaptive Modeling On Satellite Image Processing And Info Extraction Using Knowledge Fusion Mining

Author(s):

Parvathi P , Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala College of Engineering, Avadi, Chennai.; Dhayalan D, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala College of Engineering, Avadi, Chennai.; Senthil Murugan .J, ST Peters University, Avadi chennai, India

Keywords:

Knowledge Fusion Mining, Landsat and MODIS Imagery, Adaptive Modeling, Multispectral Topographical Algorithm, Apriori Algorithm

Abstract

Satellite Imagery is the most advent of landscape analysis. In existing system, a system has been designed to analyze the changes acquired in a particular landscape by utilizing satellite imagery of the landscape. This system formulates a Comparative analysis with historical and recent imagery of the landscape with respect to the changes in the soil, water, weather, landscape. The proposed system designs a system that formulates a comparative analysis with historical and the recent imagery by integrating the concept of image replacement. The resultant of the existing methodology does not predict or suggest anything for the future about the landscape whereas the proposed methodology does it with by means of image replacement. The satellite imagery under subject is tuned up with its part with a minute changes in the picture with a vision to the future and the comparative analysis has been made. Performance analysis has been done to the comparative analysis system with respect to the time and visualized graphically.

Other Details

Paper ID: IJSRDV3I120612
Published in: Volume : 3, Issue : 12
Publication Date: 01/03/2016
Page(s): 696-699

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