Remote Image Classification Using Particle Swarm Optimization
نویسنده
چکیده
In order to have clarity in the satellite images we have used Particle Swarm Optimization technique. When incorporated with traditional clustering algorithms, problems such as local optima and sensitivity to initialization, are reduced, thus exploring a greater area using global search. This segmented image is further classified using Kappa coefficient. Keywords— Particle Swarm Optimization(PSO), Swarm Intelligence,Unsupervised learning, Remote Sensing, Clustering, Image Classification
منابع مشابه
Study of Classification of Remote Sensing Images using Particle Swarm Optimization based approach
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