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Satellite-borne optical remote sensing image ship target detection method based on lightweight receptive field pyramid

A technology of optical remote sensing image and target detection, which is applied in the field of target detection of optical remote sensing image

Active Publication Date: 2020-02-14
WUHAN UNIV
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Problems solved by technology

It is difficult for current optical remote sensing image target detection methods to maintain high detection accuracy for multi-scale targets and at the same time meet the constraints of the spaceborne platform on the network scale.

Method used

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  • Satellite-borne optical remote sensing image ship target detection method based on lightweight receptive field pyramid
  • Satellite-borne optical remote sensing image ship target detection method based on lightweight receptive field pyramid
  • Satellite-borne optical remote sensing image ship target detection method based on lightweight receptive field pyramid

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Embodiment Construction

[0047] The present invention is mainly based on the deep learning neural network, considering the diversity of ship target scales in optical remote sensing images and the constraints of spaceborne platform computing equipment, and proposes a light-weight receptive field pyramid-based ship target detection method for spaceborne optical remote sensing images Experimental methods and systems. This method fully considers the feature characteristics of different ship models and different image resolutions, and constructs a lightweight receptive field pyramid structure by introducing atrous convolution to obtain multi-scale target feature maps with limited parameters. The results obtained by the invention are more scientific and more accurate.

[0048] The method provided by the invention can use computer software technology to realize the process. see figure 1 , the embodiment takes the single-stage target detection framework as an example to describe the process of the present i...

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Abstract

In order to solve the problems that in spaceborne optical remote sensing image ship target detection, the ship target scale change is large, and the calculated amount of a spaceborne platform is seriously limited, a lightweight multi-scale feature extraction network module is introduced, and the ship target detection efficiency of a deep learning network can be effectively improved. The inventiondiscloses a satellite-borne optical remote sensing image ship target detection method based on a lightweight receptive field pyramid. A method for constructing a lightweight receptive field pyramid byintroducing hole convolution is adopted, a multi-scale feature fusion detection module is constructed according to multi-scale features extracted from the receptive field pyramid, and the adaptability to optical remote sensing image ship target features is improved under the condition that the network scale is limited.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a target detection method for optical remote sensing images. Background technique [0002] Ship detection based on optical remote sensing images has always been a research hotspot in the field of remote sensing target recognition. Ships are very important strategic targets in both civilian and military fields. With the rise of deep learning, early manual features have gradually been unable to meet the increasingly complex optical remote sensing visual recognition tasks, and deep learning has shown strong feature representation capabilities in the wide application of computer vision. How to design a deep learning detection network suitable for the characteristics of ship targets in optical remote sensing images has become a major challenge for ship target detection in remote sensing images. [0003] In order to improve the performance of all aspects of the deep lear...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/194G06V20/13G06V10/40G06N3/045G06F18/253
Inventor 何楚童鸣李盛林王文伟
Owner WUHAN UNIV
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