YANG Jin, LIU Jianbo, DAI Qin. An Improved Remote Sensing Image Retrieval MethodBased on Bag of Word Framework[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1109-1113. DOI: 10.13203/j.whugis20130056
Citation: YANG Jin, LIU Jianbo, DAI Qin. An Improved Remote Sensing Image Retrieval MethodBased on Bag of Word Framework[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1109-1113. DOI: 10.13203/j.whugis20130056

An Improved Remote Sensing Image Retrieval MethodBased on Bag of Word Framework

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  • Author Bio:

    YANG Jin,PhD,associate professor,specializes in remote sensing image retrieval.

  • Received Date: April 17, 2014
  • Revised Date: September 04, 2014
  • Published Date: September 04, 2014
  • Objective The Bag-of-Words(BoW)approach has lower retrieval accuracy performance for remotesensing image retrieval.The rate of correct results is very low especially when target textures are sim-ilar.To overcome this shortcoming,an indirect comparison between a query and target image basedon local invariant feature of the background image is proposed.The solution has two phases:theprocess of building a database and a retrieval process.After building a database,a search of the nea-rest neighbor feature in a query image in the feature space of the image dataset through an approximateKD-Tree is executed,then their relationship is recorded.The relationship can be used in calculatingsimilarity between a query and target image during a retrieval procedure.Experiments show that theproposed method has a better recognition performance than that of the BoW and,at the same time,needs less storage space for saving local invariant features.
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