Wavelet Based Classification of Multispectral Satellite Image Using Fuzzy Incorporated Hierarchical Clustering With SVM Classifier
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 2
Abstract
Multispectral satellite images are more efficient and a suitable method of obtaining information about land, because it can captures an image at specific frequency across the spectrum. This spectral image can allow extraction of further information about ground survey than the other traditional image. Classification of multispectral image consists of image processing and classification method. Here, an efficient technique is proposed for classifying the multispectral images using fuzzy incorporated hierarchical clustering with SVM classifier. In the proposed technique, first the multispectral satellite image is subjected to set of pre-processing steps, which are used to transform an image into suitable form that is easier for segmentation and classification. Subsequently, the pre-processed image is segmented using fuzzy incorporated hierarchical clustering. Then, the training data for SVM is chosen from clustered output. Finally the multispectral image is classified into land use and land cover sector based on the training data. The classification is used in the application of land degradation studies, environmental damage, resource management and other environmental application.
Authors and Affiliations
S. Sindh , Dr. S. Vasuki
Keywords
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