Fast fusion method of marine environment vector data based on BP neural network

Abstract

The fast fusion method of marine environment vector data currently studied requires high light wave resolution in the panchromatic band and multi-spectral band, and the fused data is relatively fuzzy. In view of the above problems, a new marine environment vector based on BP neural network is studied. Fast data fusion method, accurate data acquisition operation, the data is arranged according to the filter length, system collection and filtering operations are performed according to the arrangement standard, and effective data is obtained. Even the low-resolution data can be well after the filtering operation. Fusion, based on the collected data, effectively analyze the fusion rules, combine the data wavelength center point to perform point data collection operations, combine the collected data, improve the system combination performance, and record the data that meets the combination standard as a fusion The standards are stored in the system space. Finally, the fusion criteria are used to perform data fusion operations to match the data fusion similarity, and the data that meets the system similarity standards are retained, and irrelevant data parameters are filtered to achieve accurate and automated data fusion. The experimental results show that the fast fusion method of marine environment vector data based on BP neural network can analyze the light wave resolution of panchromatic band and multispectral band well, and can realize high-definition data fusion.