Ship detection method for optical remote sensing images based on feature fusion convolutional network

An optical remote sensing image and convolutional network technology, applied in the field of image processing, can solve the problems of low detection accuracy and detection speed of small-sized ships, and achieve the effect of increasing speed and detection accuracy

Active Publication Date: 2021-12-17
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a ship detection method for optical remote sensing images based on feature fusion convolution network, which is used to solve the detection accuracy and detection speed of small-sized ships in the prior art lower technical issues

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  • Ship detection method for optical remote sensing images based on feature fusion convolutional network
  • Ship detection method for optical remote sensing images based on feature fusion convolutional network
  • Ship detection method for optical remote sensing images based on feature fusion convolutional network

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[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] refer to figure 1 , a ship detection method for optical remote sensing images based on feature fusion convolutional network, including the following steps:

[0039] Step 1) Construct feature fusion convolutional network:

[0040]Step 1a) replace the fully connected layer and the softmax classification layer in the VGG-16 network by setting m convolutional layers, m≥1, and use the replaced VGG-16 network as the backbone of the feature fusion convolutional network;

[0041] The number of new convolutional layers m≥1, increasing the number of convolutional layers in the network is to obtain deeper semantic information of optical remote sensing images, but the value of m should not be too large, too many convolutional layers will make the network structure too Deep results in too much calculation;

[0042] In a specific embodime...

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Abstract

The invention discloses an optical remote sensing image ship detection method based on a feature fusion convolution network, which mainly solves the problems of low detection accuracy and slow detection speed of small and medium-sized ships in the prior art. Concrete steps of the present invention are as follows: (1) construct feature fusion convolutional network; (2) construct training image set and training class label set; (3) train feature fusion convolutional network; (4) optical remote sensing to be tested The image is separated from land and sea; (5) The ship in the optical remote sensing image to be tested is detected. By fusing feature maps of different resolutions, the feature information of small-sized ships is increased, and ships are detected on multiple feature maps of different resolutions, which improves the detection accuracy of small-sized ships, and combined with optical remote sensing The gray information and gradient information of the image realize the separation of sea and land, which improves the speed of ship detection. This method can be applied to the recognition and detection of ships in optical remote sensing images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a ship detection method for optical remote sensing images, in particular to a ship detection method for optical remote sensing images based on feature fusion convolution network, which can be applied to identify ships in optical remote sensing images and detection. Background technique [0002] Target detection technology is one of the core issues in the field of computer vision. Optical remote sensing image ship detection uses the optical remote sensing image data collected by remote sensing satellites as the data source, and uses image processing technology to locate the ship in the image. Optical remote sensing image ship detection is an important research direction in remote sensing application technology, and has broad application prospects in maritime rescue, port traffic management, sea area security, etc. [0003] Due to the large differences in scale and shape of...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/241G06F18/253G06F18/214
Inventor 马文萍陈小波武越焦李成杨惠熊云塔
Owner XIDIAN UNIV
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