Remote sensing video object detection method based on overlapping slices

Abstract

The invention discloses a remote sensing video target detection method based on overlapping slices, which mainly solves the problems of missed detection rate of targets, high false detection rate of targets and tedious, complex, time-consuming and low efficiency of target detection process in the prior art. The specific steps of the invention are as follows: (1) selecting source data; (2) generating a training sample set and a test sample set; (3) preprocessing the training sample; (4) pretreating the test sample with overlapping slices; (5) training target detection model; (6) detecting targets in overlapping slices; (7) detecting the target in the test sample; (8) converting the test sample picture to video. The invention can reduce the missed detection rate of the target and the false detection rate of the target, improve the detection accuracy of the remote sensing video target, shorten the time consuming of the target detection process, and realize the efficient detection of the airplane and the ship targets in the remote sensing video.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a remote sensing video target detection method based on overlapping slices in the technical field of image target detection. The invention can be used to detect still and moving targets such as planes and ships in remote sensing video images captured by video satellites. Background technique [0002] Video satellite is a kind of video imaging satellite. Its appearance provides technical support for continuous real-time observation of the earth. The resolution of video satellites has been increased to the second level. Compared with traditional satellites, video satellites can provide dynamic information of targets, expand the data source of remote sensing information, and upgrade the analysis and interpretation of remote sensing information from static images to dynamic images. It provides a new opportunity for the understanding and processing of dynamic informati...

AI Technical Summary

Problems solved by technology

However, the shortcomings of this method are that, because the traditional image processing method is directly used to obtain the target candidate area of ​​the remote sensing video image, the particularity of the edge target of the image is ignored, and it does not solve the problem of low detection in remote sensing video images with large frame width. The problem of small resolution targets leads to high target missed detection rate and target false detection rate

Although the method proposed in this paper can suppress the interference of moving background edges and residual noise, and improve the accuracy and quality of detection, there are still shortcomings in this method. Due to the fusion of multiple methods, the method has many steps and calculation It takes a long time and reduces the efficiency of target detection

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