Content based multispectral image retrieval using principal component analysis
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
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One of the features in JPEG2000 is ROI (region of interest) coding technique. Since the shape of interested region is manually optional in the coding process, the disturbance of uninterested regions to the retrieval process could be controlled to be very small if we retrieve images based on ROI content. This paper presents a novel and effective scheme for remote sensing image retrieval, which does not need to decode JPEG2000's code stream completely. We extract the spectralfeatures of the objects based on the properties that objects would reflect different waves in different wave bands. The subsequent retrieval is based on this kind of spectralfeatures. In addition, we design a new measurement scheme by which similarity between two images is computed and then the retrieval is realized based on the measurement. Experimental results show that our method is accurate and efficient. It also shows obviously that our method costs much less time than the traditional ones.