Multi-feature locality sensitive hashing (LSH) indexing combination-based remote sensing image retrieval method

A remote sensing image, multi-feature technology, applied in the field of remote sensing image retrieval, can solve the problem of low time efficiency, and achieve the effects of improving accuracy, solving time-consuming retrieval, and quickly retrieving
CN103336801AInactive Publication Date: 2013-10-02HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HOHAI UNIV
Publication Date
2013-10-02
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a multi-feature locality sensitive hashing (LSH) indexing combination-based remote sensing image retrieval method and belongs to the technical field of remote sensing image retrieval. According to the multi-feature LSH indexing combination-based remote sensing image retrieval method disclosed by the invention, LSH indexing of one of the best indexing technologies in high-dimensional feature spaces is introduced into the field of the remote sensing image retrieval, so that the problems of curse of dimensionality and retrieval time consuming can be effectively solved on a large scale, and the rapid retrieval of remote sensing images is realized. Meanwhile, the invention provides a new indexing validation index-a feature discriminative-ness-based indexing validation index (FDIVI) by aiming at the LSH indexing, and features best capable of distinguishing targets and backgrounds are evaluated and selected by the LSH indexing in all feature spaces, and therefore, the accuracy of a retrieval result is effectively improved. Compared with the prior art, the multi-feature LSH indexing combination-based remote sensing image retrieval method disclosed by the invention is capable of more rapidly and accurately realizing the retrieval of a great amount of remote sensing image data.
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Description

technical field

[0001] The invention relates to the technical field of remote sensing image retrieval, in particular to a remote sensing image retrieval method based on multi-feature LSH index combination. Background technique

[0002] In the past 40 years, the amount of earth observation data has increased dramatically with the development of remote sensing technology, and various information systems have higher and higher requirements for ground object recognition technology. How to quickly and effectively classify and retrieve remote sensing images automatically has become one of the urgent problems to be solved.

[0003] In general image retrieval, the retrieval target is an image or contained in an image, and the retrieval scope is other independent images in the image database. Different from general natural image retrieval, remote sensing image retrieval has the following characteristics: the target to be retrieved is in a relatively large remote sensing image, and o...

Claims

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