Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence
نویسنده
چکیده
Image classification is elementary step of the remote sensing applications, which is to extract useful geographic information from raw image data. Many new methods for remote sensed image classification have been developed such as machine learning, support vector machine (SVM), neural network classifier, fuzzy set, genetic algorithm and Artificial intelligence. Though these method may have higher accuracies than conventional classifiers. However, there is still a vast scope for further increases in classification accuracies so that the results can satisfy most of the
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