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This paper deals with the technique to detect automatically the changes of land use pattern over a particular period of time with visual effect. Two land use maps (obtain from satellite picture) of the same location with some period interval have been taken as inputs. This tool calculates the RGB values, latitude and longitude of each pixel of the map. The pixel based changes of the land use classes...
This paper proposes a novel semi supervised approach to classify hyperspectral image. This method can overcome the limited training samples problem. It combines support vector machine (SVM) and particle swarm optimization(PSO). The new approach exploits the wealth of unlabeled samples for improving the classification accuracy. The method can inflate the original training samples by estimating the...
This paper presents a new method for hyperspectral image classification. It combines support vector machine (SVM), particle swarm optimization (PSO), and genetic algorithm (GA) together. Its aim is to improve the classification accuracy and reduce the computation consumption based on heuristic algorithms. Because the classification accuracy is impacted by the parameters of the SVM model and feature...
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