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Remote sensing image retrieval method based on improved support vector machine relevance feedback

A support vector machine, remote sensing image technology, applied in computer parts, special data processing applications, instruments, etc., to achieve the effect of improved rationality

Active Publication Date: 2012-05-23
YANTAI INST OF COASTAL ZONE RES CHINESE ACAD OF SCI
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Problems solved by technology

[0009] In view of the problems in the field of remote sensing image retrieval and pattern recognition in the above-mentioned prior art, because the similarity measurement strategies of related feedback are often different, the results of the feedback retrieval have certain differences in content and order. The technical problem is to provide a remote sensing image retrieval method based on improved support vector machine correlation feedback, which not only improves the accuracy of remote sensing image retrieval, but also can reasonably sort the retrieval results.

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  • Remote sensing image retrieval method based on improved support vector machine relevance feedback
  • Remote sensing image retrieval method based on improved support vector machine relevance feedback
  • Remote sensing image retrieval method based on improved support vector machine relevance feedback

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[0050] The invention proposes a new method of similarity measurement strategy in the process of content-based remote sensing image retrieval related feedback, which is to combine SVM and visual feature similarity measurement. Its purpose is to enhance the sorting ability of retrieval result images while ensuring the retrieval accuracy of relevant feedback. According to the advantages and disadvantages of the feature similarity measurement method and the correlation feedback method based on SVM, the similarity measurement of two remote sensing images Combining the strategies, a correlation feedback method for remote sensing image retrieval is proposed, which linearly weights the classification hyperplane function in SVM with the distance function of the visual feature similarity measure. This method can make the retrieval results after relevant feedback more reasonable in order and meet the user's retrieval goals while ensuring the retrieval accuracy. The implementation method ...

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Abstract

The invention relates to a remote sensing image retrieval method based on improved support vector machine relevance feedback. The method comprises the following steps of: establishing a remote sensing image database, and selecting an image meeting a retrieval object from the remote sensing image database as a query image; performing remote sensing image feature extraction on the remote sensing image database to obtain feature vectors; calculating Euclidean distances between the feature vectors of images and the query image in the remote sensing image database based on the feature vectors, andreturning a given number of remote sensing images sequentially from short distances to long distances as initial retrieval results; and performing relevance feedback, namely evaluating the initial retrieval results, and finishing retrieval if the initial retrieval results are satisfactory. By the method, the problems of the conventional support-vector-machine-based relevance feedback algorithm about retrieval result sequencing, particularly the problems about classification and identification in a high-dimensional feature space are well solved, and remote sensing image retrieval accuracy and retrieval result sequencing rationality can be effectively improved; and the method can be used for a plurality of application fields related to remote sensing image retrieval.

Description

technical field [0001] The invention relates to the technical field of computer image retrieval, in particular to a remote sensing image retrieval method based on improved support vector machine correlation feedback. Background technique [0002] Content-based remote sensing image retrieval (Content-based Remote Sensing Image Retrieval, CBRSIR), the so-called "picture search", it is developed on the basis of content-based image retrieval (Content-based Image Retrieval, CBIR) A new media information retrieval technology. It expresses the content of the image by extracting the visual features (color, shape, texture, spectrum, etc.) in the remote sensing image. Extract information clues from media content, use approximate matching technology, and use relevant feedback as an effective means to achieve rapid retrieval in large databases. In order to meet the accuracy requirements of remote sensing image retrieval, relevant feedback technology must be added, from simple one-time...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/46G06K9/62
Inventor 唐家奎赵理君于新菊米素娟张成雯李勇志王后茂王春磊
Owner YANTAI INST OF COASTAL ZONE RES CHINESE ACAD OF SCI
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