Ground object target detection method and system for remote sensing image

A technology of remote sensing image and target detection, which is applied in the field of computer vision to improve the multi-scale target detection problem, improve the detection effect, and improve the detection accuracy

Active Publication Date: 2020-09-04
AEROSPACE INFORMATION RES INST CAS
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Most common algorithms fuse features of different scales to enhance the inform...

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  • Ground object target detection method and system for remote sensing image
  • Ground object target detection method and system for remote sensing image
  • Ground object target detection method and system for remote sensing image

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[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 detecting ground object objects in remote sensing images, such as figure 1 shown, including:

[0059] 101. Input the remote sensing image to...

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Abstract

The invention relates to a remote sensing image ground object target detection method and system, and the method comprises the steps: inputting a to-be-detected remote sensing image to a pre-trained detection network, and obtaining an initial ground object target detection result, outputted by the pre-trained detection network, of the to-be-detected remote sensing image; screening the initial ground object target detection result by using a non-maximum suppression algorithm to obtain a final ground object target detection result of the to-be-detected remote sensing image; according to the technical scheme provided by the invention, the problem of small object detection in a complex remote sensing scene is effectively solved, attention is dynamically distributed to objects of different scales, and an effective technology is provided for subsequent computer vision tasks including but not limited to 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 detecting ground object objects in remote sensing images. 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 to the field of remote...

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Application Information

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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
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