Remote sensing image retrieval method, device, electronic equipment and storage medium
A technology for remote sensing images and images, applied in the field of image processing, can solve the problems of long time consumption, large differences, and lowering the retrieval accuracy of remote sensing images, so as to reduce the amount of calculation and improve the accuracy.
Active Publication Date: 2022-01-07
TWENTY FIRST CENTURY AEROSPACE TECH CO LTD
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In this way, it is easy to have two targets with the same hash feature similarity calculation value in the remote sensing image, and the actual difference is huge, which will reduce the accuracy of remote sensing image retrieval.
Moreover, due to the large amount of data in remote sensing images, it is necessary to calculate the similarity between the extracted features and the features in the feature library one by one when performing image retrieval, which takes a long time, so the retrieval speed of remote sensing images will also be reduced
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[0021] Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for thorough understanding of the application and to fully convey the scope of the application to those skilled in the art.
[0022] It should be noted that, unless otherwise specified, technical terms or scientific terms used in this application shall have the usual meanings understood by those skilled in the art to which this application belongs.
[0023] The embodiment of the present application provides a remote sensing image retrieval method, figure 1 Schematically shows the flow of the remote sensing image retrieval method Figure 1 , see figure 1 As shown, the m...
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The present application provides a remote sensing image retrieval method, device, electronic equipment, and computer-readable storage medium. The remote sensing image retrieval method includes: obtaining at least two features of multiple image blocks in the remote sensing image to be retrieved; storing at least two features of the multiple image blocks in a feature index library, and constructing the remote sensing image to be retrieved in the feature index library The multi-level index relationship of at least two features of multiple image blocks; obtain at least two features of the image of interest to the user; combine the at least two features of the image of interest to the user with multiple images of remote sensing images to be retrieved in the feature index library The similarity calculation of at least two features of the block is performed based on the multi-level index relationship; the image block of the remote sensing image to be retrieved that has the highest similarity with the at least two features of the image of interest to the user is taken as the retrieval result. It can not only improve the retrieval accuracy of remote sensing images, but also improve the retrieval efficiency of remote sensing images.
Description
technical field [0001] The present application relates to the technical field of image processing, and in particular to a remote sensing image retrieval method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] Image retrieval mainly includes two types. The first: text-based image retrieval. Specifically, it is to realize the search of paintings through text description information such as author and year. The second: content-based image retrieval. Specifically, it extracts the color, texture, shape, layout and other features of the image, and then calculates the similarity between the extracted features and the images in the feature library, and then takes one or more images with the highest similarity in the feature library as search results. [0003] With the continuous development of artificial intelligence technology, when extracting features such as color, texture, and layout of images, deep convolutional neural netwo...
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IPC IPC(8): G06F16/583G06F16/51G06F16/538G06K9/62G06N3/04G06N3/08
CPCG06F16/583G06F16/538G06F16/51G06N3/08G06N3/045G06F18/214
Inventor 陈婷刘懿兰武文斌何建军闫东阳闫鹏飞乔月霞
Owner TWENTY FIRST CENTURY AEROSPACE TECH CO LTD