Evolutionary Approach for Land cover classification using GA based Fuzzy Clustering Techniques
نویسنده
چکیده
Remote Sensing Imagery is used by theGovernment and private agencies for thewide range of applications from military tofarm development. Fuzzy c-meansclustering is an effective algorithm, but therandom selection in center points makesiterative process falling into the localoptimal solution easily. In this Paper, anovel clustering method is developedusing GA based clustering techniques.This technique enables the clustering to beperformed by taking the initial centroidusing mode function which allows theiterative algorithm to meet to a “better”local minimum. Then the GA basedimprovement algorithm to get bettercluster quality. The study area taken hereis the Theni region, Tamil Nadu.
منابع مشابه
Land Cover Classification using GA based Fuzzy Clustering Techniques for Remotely Sensed Data
Remote Sensing Imagery is used by the Government and private agencies for the wide range of applications from military to farm development. Fuzzy c-means clustering is an effective algorithm, but the random selection in center points makes iterative process falling into the local optimal solution easily. In this Paper, a novel clustering method is developed using GA based clustering techniques....
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