Hyperspectral Image Classification on Decision level fusion
نویسندگان
چکیده
In this paper different types of image classification will be studied. Decision level fusion, using a specific criterion or algorithm to integrate the classified results from different classifiers, has shown great benefits to improve classification accuracy of multi-source remote sensing images. Based on a survey to hyperspectral remote sensing classification techniques and decision level fusion algorithms, some issues on hyperspectral remote sensing image classification based on decision level fusion are explored. In this three decision level fusion methods and four schemes for input data are used to hyperspectral remote sensing image classification.
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