A linear target drop point positioning method based on aerial three-dimensional positioning
A positioning method and three-dimensional positioning technology, applied in image data processing, measuring devices, instruments, etc., can solve problems such as accurate positioning of landing targets, three-dimensional space position errors, etc.
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[0066] The present invention provides a method for locating the landing point of a linear target based on three-dimensional positioning in the air, comprising the following steps:
[0067] Step 1: Based on the scene images collected by station S1 and station S2, the background modeling method of multi-frame cumulative average is used to dynamically estimate the background component of the scene image and establish a background image model;
[0068] Step 2: Perform morphological TopHat transformation on the scene images and dynamic background images collected by stations S1 and S2, enhance the weak and small linear air targets in the background images, and use the background difference method to suppress the background to improve the image signal-to-clutter ratio;
[0069] Step 3: Considering the linear geometric features of the target, the median filter and the bilateral filter method are used for combined filtering to filter out image noise;
[0070] Step 4: Use the threshold...
specific Embodiment 2
[0074] according to figure 1 As shown, the flow chart of the linear target landing point positioning method based on three-dimensional positioning in the air, the target landing point position prediction, based on the video stream observation data collected by the left and right stations S1 and S2, according to the processing flow described in the figure, the realization of the Predict the location of the target drop point and obtain the target drop point position.
[0075] Step 1: Based on the images collected by the station, the multi-frame cumulative average background modeling method is used to dynamically estimate the background component of the scene and establish a background image model. The specific steps are as follows:
[0076] (1-1) Initialize the background image, initialize the background image with the first frame image collected after the camera is turned on:
[0077] BImg=Img (1)
[0078] In the formula (1), Img represents the first frame image collected aft...
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