Attention and generative adversarial network-based optical remote sensing image retrieval method

An optical remote sensing image and attention technology, applied in still image data retrieval, neural learning methods, biological neural network models, etc., can solve the problems of reducing quantization errors, large time consumption, and affecting retrieval accuracy, so as to improve accuracy, Improved retrieval accuracy and reduced quantization error
CN110929080AActive Publication Date: 2020-03-27XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2020-03-27

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Abstract

The invention discloses an attention and generative adversarial network-based optical remote sensing image retrieval method, and mainly solves the problem of low optical remote sensing image retrievalprecision in the prior art. The method comprises the following specific steps: (1) constructing a deep convolutional network; (2) constructing an attention network; (3) constructing a generative adversarial network; (4) constructing a hash learning network; (5) training a network; (6) acquiring a hash coding vector of each optical remote sensing image; and (7) retrieving an optical remote sensingimage. According to the method, the attention network is constructed, discriminable features of the image are extracted, and the expression ability of image features is improved; a generative adversarial network is constructed, an image hash coding vector is extracted, and quantization errors are reduced; and finally, the retrieval precision of the optical remote sensing image is improved.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and further relates to an optical remote sensing image retrieval method based on attention and generation confrontation network in the technical field of optical remote sensing image retrieval. The invention can quickly and accurately search for the image that the user is interested in from a large amount of optical remote sensing images. Background technique

[0002] With the development of satellite remote sensing and aerial remote sensing technology, the data volume and image resolution of remote sensing images are increasing, and more useful data and information can be obtained from remote sensing images. For the application of different occasions, the processing of remote sensing images also has different requirements, so in order to effectively analyze and manage these remote sensing image data, it is necessary to quickly query and retrieve interesting images from the massive remot...

Claims

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