Retrieval of Remote Sensing Images Using Color, Texture and Spectral Features
نویسنده
چکیده
Abstract: The remote sensing images are increasing day by day therefore storage and retrieval of these images is of significant importance. In this paper a prototype model for retrieval of remote sensing images on the basis of color moment and gray level co-occurrence matrix feature is developed and different vegetation index feature is extractor as color, texture and spectral. These three features plays important role in determining contents in remote sensing images. The results obtained are promising and these results can further be used for detecting change in different areas of remote sensing images.
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