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A method and system for fast detection of remote sensing targets based on dynamic attention mechanism

A target detection and to-be-detected technology, applied in the field of computer vision, to achieve the effect of improving the detection effect, improving the detection accuracy, and improving the multi-scale target detection problem

Active Publication Date: 2021-08-06
AEROSPACE INFORMATION RES INST CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Most common algorithms fuse features of different scales to enhance the information around small objects, ignoring the lack of information due to size differences

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  • A method and system for fast detection of remote sensing targets based on dynamic attention mechanism
  • A method and system for fast detection of remote sensing targets based on dynamic attention mechanism
  • A method and system for fast detection of remote sensing targets based on dynamic attention mechanism

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Embodiment Construction

[0056] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0057] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] The invention provides a method for fast detection of remote sensing targets based on a dynamic attention mechanism, such as figure 1 shown, including:

[0059] 101. Input the ...

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Abstract

The present invention involves a rapid detection method and system based on the dynamic attention mechanism, including: input the remote sensing image to the pre -trained detection network, and obtain the pre -trained detection network output of the pre -tested network output to detect the initial initial of the remote sensing image to detect the remote sensing image.The results of the target detection of the ground object; the use of the non -extremely large value inhibitory algorithm to screen the test results of the initial land target targets to obtain the final land target detection results of the remote sensing image to be detected;The detection of small objects in complex remote sensing scenes provides effective technologies for the visual tasks including but not limited to the subsequent but not limited to the subsequent but not limited to the remote sensing image target detection.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method and system for quickly detecting remote sensing targets based on a dynamic attention mechanism. Background technique [0002] With the development of deep learning, convolutional neural networks have made breakthroughs in the field of image classification and recognition of natural scenes. Compared with natural scenes, optical satellite remote sensing images are large in size, complex in background, and contain a large number of objects. The target size is small, and in some scenes, small targets are densely clustered together and it is difficult to distinguish them; in addition, there are also phenomena such as target rotation and affine, as well as the influence of clouds, sea ripples, shadows, lighting and shooting angles; in practical applications, the detection speed requirements Also higher. This makes deep learning methods in computer vision not directly applicable...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/13G06N3/045G06F18/24
Inventor 孙显王佩瑾刁文辉张义闫志远冯瑛超马益杭许滔
Owner AEROSPACE INFORMATION RES INST CAS