Content-based retrieval of remote-sensed images using vector quantization
Asha Vellaikal, C.‐C. Jay Kuo, Son K. Dao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.