Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 118-121.doi: 10.11896/j.issn.1002-137X.2016.6A.028

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Frequency Domain Information Based Water Body Image Retrieval in High Resolution Satellite Image Databases

LI Yi-kun, HU Yu-xi and YANG Ping   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The core of a remote sensing image retrieval system is to quickly and accurately find target images from remote sensing image database.Since integrated region matching (IRM) algorithm can effectively reduce the retrieval mistakes which are caused by inaccurate segmentation of images,this paper used IRM as image similarity measurement standard,and proposed a novel approach to retrieve water body images from remote sensing image database,which sorts the retrieved images in ascending order according to their average high frequency strength (AHFSS).Additionally,this paper used three different types of filters in frequency domain to obtain the AHFSS values of images and conduct retrieval experiments.The experimental results show that the proposed approach increases the retrieval precision by 18% and the ideal high frequency filter is the optimal filter.Therefore,the proposed approach has higher retrieval precision and retrieval efficiency to meet users’ requirement.

Key words: Image retrieval,Water body,Similarity measurement,Precision ration,High-pass filter

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