A prototype system of content-based retrieval of remote sensing images

Qimin Cheng, Chongjun Yang, Zhenfeng Shao, Donglin Liu, Yuqi Bai

Abstract: The problem of content-based retrieval of remote sensing images presents a major challenge not only because of the surprisingly increasing volume of images acquired from a wide range of sensors but also because of the complexity of images themselves. In this paper, a prototype software system for content-based retrieval of remote sensing images, namely CBRRSI, is introduced. The main contribution of our research work is the novel wavelet-based feature representation approach and the flexible progressive retrieval strategies based on multi-descriptors. Some experimental results are given to prove the validity of the CBRRSI.