A novel method based combined color features for large-scale spatial image data retrieval

Large-scale image data needs to be organized to allow efficient browsing, searching and retrieval. It is also critical for military and intelligence applications especially suited to addressing national security, that is, image data are critical for situation awareness and assessment purposes, and they are invaluable for detecting changes and providing relevant information to decision makers. Currently, there is a lack of comprehensive tools that can allow fast and efficient processing of information from huge image data. In order to fill this gap, this paper proposes a novel method based combined color features for large-scale spatial image retrieval by considering divided smaller sub-images. Several retrieval testing results are also given to show the efficiency for the new method.