Remote Sensing Image Retrieval Algorithm Based on MapReduce and Characteristic Information
Guest Editor Huier Liu (North China University of Water Resources and Electric Power, China)
In order to improve the retrieval efficiency and accuracy of remote sensing image, and this paper proposed a remote sensing image retrieval algorithm based on MapReduce. Firstly, the image color and texture features of emote sensing are extracted, and then the Map function is used to compute similarity among the retrieval remote sensing images and the feature library he according to color, color features, finally, the intermediate results of nodes are collected the node is obtained by using the Reduce function, and the remote sensing images are sorted to according to the similarity to obtain the remote sensing image retrieval results. Test results show that the proposed algorithm can fast and accurate retrieval in remote sensing image, not only improve the remote sensing image retrieval efficiency, and also improve the remote sensing image retrieval accuracy.
Journal: International Journal of Simulation: Systems, Science & Technology, IJSSST V17
Published: Jan 21, 2016