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A Remote Sensing Target Detection Algorithm Based on Improved Fastmbd

A target detection algorithm and remote sensing technology, applied in computing, computer components, instruments, etc., can solve problems such as low recall rate

Active Publication Date: 2022-08-05
HOHAI UNIV
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  • Claims
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Problems solved by technology

However, the FastMBD algorithm is an algorithm based on the assumption that the target is at the center, but in remote sensing images, usually an image contains multiple or even a large number of targets, so the application of the FastMBD algorithm on remote sensing images will lead to a significant reduction in the recall rate.

Method used

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  • A Remote Sensing Target Detection Algorithm Based on Improved Fastmbd
  • A Remote Sensing Target Detection Algorithm Based on Improved Fastmbd
  • A Remote Sensing Target Detection Algorithm Based on Improved Fastmbd

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Embodiment Construction

[0069] Below in conjunction with specific embodiments, the present invention will be further illustrated, and it should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. The modifications all fall within the scope defined by the appended claims of this application.

[0070] like figure 1 As shown, a remote sensing target detection algorithm based on improved FastMBD, the method includes the following steps:

[0071] The first step is to divide the input remote sensing image img into several sub-images according to different sizes. The sub-images of the same size can be assembled into the original image img, and the corresponding Fast MBD can be obtained by calculating the Fast Minimum Barrier Distance for the sub-images. Saliency map, filter out the saliency value in the FastMBD saliency map corresponding to the shadow in the original image img, that is, set it to 0, combine the sub-imag...

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Abstract

The present invention discloses a remote sensing target test algorithm based on improving FastMBD. First, the image is divided into several sub -images according to different sizes, and a significant picture of FastMBD is calculated on the sub -image.The combination forms a local significant diagram, and then combines the local apparent maps corresponding to different sizes. After the consistency of the fusion image is prominently improved to improve the significant map of FastMBD, and finally the significant target can be extracted through the inside and outside significant ratio, and the target detection task can be completed.

Description

technical field [0001] The invention relates to a target detection algorithm based on improved FastMBD, and belongs to the technical field of digital image processing. Background technique [0002] Target detection can be divided into supervised and unsupervised. Most of the supervised methods are to train the model and then test the test images, because the training process will take a long time and is restricted by the training samples, even considering the scale, calculation Most of the detection processes can be pre-detected through unsupervised detection to reduce the amount of calculation and improve the efficiency of the algorithm. [0003] Salient target detection is often used in the field of target detection due to its low time consumption and unsupervised advantages. The FastMBD algorithm is a good target detection model with both target detection and high computational efficiency. However, the FastMBD algorithm is based on the assumption that the target is in th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/13G06V10/26G06V10/74G06V10/80G06K9/62
CPCG06V20/13G06V10/267G06V2201/07G06F18/22G06F18/25
Inventor 王鑫邓梁吕国芳严勤石爱业
Owner HOHAI UNIV
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