State estimation method and system of point-like moving target for video satellite
A moving target and state estimation technology, which is applied in computing, image analysis, image enhancement and other directions, can solve the problem of inability to realize the estimation of the moving target's motion state, and achieve the effect of convenient data processing, convenient use and simple form.
Active Publication Date: 2020-01-24
WUHAN UNIV
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However, it is impossible to estimate the motion state of the moving target in the object space. Based on the photogrammetry principle, the target points on the sequence images need to be solved in an integrated manner, so that the motion trajectory can be solved in the object space, and the point-like moving target can be realized. Discoverable, trackable and predictable
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[0051] The following will combine figure 1 The present invention is described in detail, specifically comprising the following steps:
[0052] Step 1. Read the frame sequence point files detected in the video satellite advanced video products, count the number of point-shaped moving objects, and save the coordinate information of point-shaped moving objects and the acquisition time of each frame into corresponding point files; The RPC model parameters corresponding to the frame images are saved as corresponding model files. The RPC model parameters come from the RPC file of the image product.
[0053] Step 2, use the RPC model parameters in the RPC file of each frame of image to construct the RPC model of each frame of image.
[0054] The RPC model is defined as follows:
[0055]
[0056] In formula (1):
[0057] (x,y) represents the regularized image coordinates;
[0058] (P,L,H) are regularized ground point coordinates;
[0059] Num l (P,L,H), Den l (P,L,H), Num ...
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The invention discloses a point moving target state estimation method for a video satellite. The method includes the following steps that: S1, a frame sequence point file is read from a video satellite image product, and the coordinate information of a point moving target, the acquisition time of each frame of image and RPC model parameters corresponding to each frame of image are obtained; S2, the RPC model parameters corresponding to each frame of image are utilized to construct the RPC model of each frame of image; S3, the object space coordinates of each point moving target on each frame of image are calculated according to DEM data and the RPC model of each frame of image; S4, the Chebyshev polynomial model is adopted to perform movement trajectory fitting according to the object space coordinates of the point moving targets; and S5, the motion states of the point target moving targets at any time are estimated through using the trajectory model of the point moving targets. With the point moving target state estimation method for the video satellite of the invention adopted, the problem that the real motion states of the point moving targets of satellite-bone video images are difficult to accurately describe can be solved. The method has the advantages of simple form and convenient use.
Description
technical field [0001] The invention relates to the technical field of moving target state estimation, in particular to a method and system for point-like moving target state estimation of video satellites. Background technique [0002] With the deepening of remote sensing applications, the application requirements have developed from regular static surveys to real-time high-dynamic monitoring. It has become an urgent need to use satellites to continuously monitor global hot spots and targets and obtain dynamic information. In addition to the static information contained in classic optical remote sensing satellite images, satellite video can also obtain real-time dynamic information within a certain space-time range, making remote sensing observations have a broader application prospect. In video applications, motion state estimation for point-shaped moving objects is an important step in the quantitative description of dynamic information, and it is also the basis and premi...
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IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/10016G06T2207/10032
Inventor 张过汪韬阳蒋永华沈欣
Owner WUHAN UNIV