Height anomaly fitting interpolation calculation method based on mobile neural network

Abstract

The invention provides a height anomaly fitting interpolation calculation method based on a mobile neural network. The method comprises the following steps of: constructing a BP (Back Propagation) neural network model, wherein the BP neural network module comprises an input layer, a hidden layer with nerve cells and an output layer, and each element of the input layer is connected with the corresponding nerve cell through a weight matrix; using a discrete GPS (Global Positioning System) point position as a center, and selecting the height anomaly and the earth coordinates of grid nodes in a quasigeoid grid number model, wherein the earth longitude difference and the earth latitude difference of the grid nodes are smaller than a space of a preset number of grid nodes; using the height anomaly and the earth coordinates of the preset number of grid nodes for forming a study set sample, training the neural network, and generating a network weight matrix when a network performance index reaches a preset extreme value; and inputting the earth coordinates of the discrete GPS point position, and calculating the height anomaly in the point through calculation. The method provided by the embodiment of the invention has the advantage of high precision of height anomaly fitting interpolation calculation.

Description

technical field [0001] The invention relates to the field of geodesy, in particular to an elevation anomaly fitting interpolation calculation method based on a mobile neural network. Background technique [0002] In engineering applications, the normal height is used as the legal height system in my country, and the normal height is an elevation system defined based on the quasi-geoid. Only when the ground height is transformed into a normal height can it be directly applied to engineering construction. In today's GPS positioning era, establishing and refining a quasi-geoid model is establishing and maintaining a national elevation reference frame. The high-precision and high-resolution quasi-geoid numerical model can give the elevation anomaly at any point, which can be regarded as a reference frame for measuring the normal height. If the accuracy of GPS geodetic height determination is certain, the key to GPS height conversion is the accuracy of height anomaly interpolati...

AI Technical Summary

Problems solved by technology

Interpolation of elevation anomalies in low-resolution quasi-geoids will bring large errors. Surface fitting interpolation uses regular surfaces to fit irregular quasi-geoids, and the interpolation process will also bring model error

Images