Atmospheric delay estimation method based on back propagation neural network
An atmospheric delay and neural network technology, applied in the field of atmospheric delay correction based on backpropagation neural network, can solve the problem of ignoring the corresponding relationship between atmospheric delay and spatial geographic location, data that cannot be corrected for atmospheric delay, and ignoring individual differences in atmospheric errors, etc. problem, to achieve the effect of overcoming SAR image data, improving feasibility and applicability, and overcoming the influence of estimation results
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Embodiment 1
[0056] figure 1 The overall flowchart of the specific embodiment 1 is provided for the atmospheric delay estimation method based on the backpropagation neural network of the present invention. like figure 1 As shown, an atmospheric delay estimation method based on backpropagation neural network, including the following steps:
[0057] Step S1: Select pixels with continuous atmospheric delay interference from a SAR image as the area to be observed.
[0058] Step S2: Generate a training sample set. In this step, the following steps are included:
[0059] Step S21: Extracting the digital elevation of each known atmospheric delay value pixel in the area to be observed, including the azimuth coordinate value of the pixel point in the SAR image, the distance coordinate value in the SAR image, and the elevation value;
[0060] Step S22: Select an unselected known atmospheric delay value pixel point from the area to be observed;
[0061] Step S23: Using the planar distance calcul...
Embodiment 2
[0084] figure 2 A structural block diagram of a specific embodiment 2 is provided for the device for estimating atmospheric delay based on a backpropagation neural network in the present invention. like figure 2 As shown, this embodiment provides an atmospheric delay estimation device based on a backpropagation neural network, including
[0085] The data acquisition module is used to acquire pixels with continuous atmospheric delay interference from the SAR image;
[0086] The generation module of the training sample set utilizes the digital elevation and reference information of all known atmospheric delay value pixels to generate the training sample set;
[0087] The design and training module of the neural network uses the backpropagation BP algorithm to train the neural network to obtain a trained neural network;
[0088] The pixel point classification module divides all the pixel points in the area to be observed into a known atmospheric delay value point set and an ...
Embodiment 3
[0092] This embodiment provides a system for estimating atmospheric delay based on a backpropagation neural network, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the system is implemented. steps of the method described above.
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