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Content-based retrieval of remote-sensed images using vector quantization

A new approach of using the VQ codewords as the remote sensed image features for content- based retrieval is proposed in this research. Different distortion measures are tried in the VQ stage to enhance the performance of the codewords as 'content descriptors' including classification accuracy. A system based approach has been taken to ensure that the features satisfy the different criteria imposed by a whole system. We implemented two main types of queries--query by class and query by value. The performance with respect to the former query was satisfactory while that for the latter query was excellent.