Satellite image ship detection method combining a rotating frame and context information

A ship detection and satellite image technology, applied in the field of satellite image recognition, can solve the problem that satellite images are difficult to obtain ideal results, and achieve the effect of improving the lack of ship sample data, overcoming the interference of complex backgrounds, and improving accuracy

Active Publication Date: 2019-06-11
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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  • Description
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Problems solved by technology

However, these methods are specially designed for object detection in natural images, and it is often difficult to achieve ideal results when directly applied to satellite images.

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  • Satellite image ship detection method combining a rotating frame and context information
  • Satellite image ship detection method combining a rotating frame and context information
  • Satellite image ship detection method combining a rotating frame and context information

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Embodiment Construction

[0028] Object detection based on deep learning has recently received a lot of attention while achieving superior performance. However, due to a series of problems encountered in high-resolution satellite image ship detection, the existing ship detection methods are difficult to obtain high-precision detection results. Therefore, the present invention proposes a high-resolution satellite image ship detection method based on rotating frame and context information, and the specific flow chart is as follows figure 2 shown. Examples of ship targets in high-resolution satellite images are shown as figure 1 shown.

[0029] The specific embodiments and basic principles of the present invention will be further described below in conjunction with the accompanying drawings.

[0030] Step 1. Build a ship detection network model, including a densely connected network, a candidate bounding box generation network, and a multi-region fully connected network;

[0031] Step 2, data augment...

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Abstract

The invention provides a satellite image ship detection method combining a rotating frame and context information. The satellite image ship detection method comprises the following steps: firstly, expanding a training data set by adopting color transformation, scale transformation and angle transformation; carrying out feature extraction by using a dense connection convolutional neural network, sothat a feature map with strong semantic information and accurate position information can be obtained; generating a series of multi-scale, multi-aspect-ratio and multi-angle candidate bounding boxeson the feature map by utilizing a rotation area candidate network; and finally, extracting candidate boundary frame context composite features by using a multi-region full connection network for shipdetection. Compared with a conventional ship detection method, the method has the advantages that higher detection precision can be obtained from the aspects of data preprocessing, feature extraction,candidate boundary frame generation, detectors and the like.

Description

technical field [0001] The invention belongs to the field of satellite image recognition, and more particularly relates to a satellite image ship detection method combined with rotating frames and context information. Background technique [0002] With the rapid development of remote sensing technology, current satellite sensors can easily acquire high-resolution images. Ship detection using high-resolution satellite images is an important research direction, and has been widely used in fishery management, ship traffic services, maritime operations and other fields. However, due to some significant differences between satellite images of ship targets and targets in natural images, such as: (1) the illumination changes, scale changes and aspect ratio changes of satellite image ship targets are more intense; (2) ship targets will encounter a large number of different complex environment, such as near-coastal environment, far-coastal environment, and interference from targets ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
Inventor 于君娜王士成徐小刚陈金勇梁硕帅通单子力文义红王港楚博策
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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