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Target recognition method, device and computer equipment for remote sensing images

A remote sensing image and target recognition technology, applied in the computer field, can solve the problem of high cost and achieve the effect of high precision and cost reduction

Active Publication Date: 2021-03-23
BEIJING INST OF ENVIRONMENTAL FEATURES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing remote sensing image target detection method uses a one-step target detection algorithm or a rotation transformation data enhancement detection method, which is costly and cannot meet the requirements for real-time detection of remote sensing images under the premise of ensuring high precision of target detection.

Method used

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  • Target recognition method, device and computer equipment for remote sensing images
  • Target recognition method, device and computer equipment for remote sensing images
  • Target recognition method, device and computer equipment for remote sensing images

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0049] The target recognition method of remote sensing images provided by this application can be applied to such as figure 1 shown in the application environment. Specifically, the server obtains training remote sensing images, and obtains standard recognition results corresponding to the training remote sensing images; the server optimizes the preset neural network to obtain an optimized neural network; wherein, the optimized neural network has at least two different The perceptual domain used to detect the image of the scale; the server trains the optimized neural ne...

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Abstract

The invention relates to a target identification method for a remote sensing image, and the method comprises the steps: obtaining a training remote sensing image, and obtaining a standard identification result corresponding to the training remote sensing image; optimizing the preset neural network to obtain an optimized neural network; wherein the optimized neural network is provided with at leasttwo perception domains with different scales and used for detecting images; according to the training remote sensing image and the standard identification result, training the optimized neural network to obtain a training neural network; inputting a remote sensing image to be identified into the training neural network to obtain a target identification result of the remote sensing image; the costcan be effectively reduced, the remote sensing image can be detected in real time, and the precision is high.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a target recognition method, device and computer equipment for remote sensing images. Background technique [0002] Object detection is an important and challenging problem in computer vision. Although object detection has made important achievements in natural scenes in the past ten years, it has made slow progress in remote sensing images. [0003] The existing remote sensing image target detection method adopts a one-step target detection algorithm or a rotation transformation data enhancement detection method, which is costly and cannot meet the real-time detection requirements of remote sensing image under the premise of ensuring high precision of target detection. . Contents of the invention [0004] The object of the present invention is to provide a method, device, computer equipment and readable storage medium for target recognition of remote sensing images, which ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 翟佳周嘉明陈峰彭实
Owner BEIJING INST OF ENVIRONMENTAL FEATURES