RTK-GPS Strategy Based On Genetic Neural Network Digital For Forest Mapping And Positioning Of Samples And Its Application

Survey of forest resources is to achieve an important means of modernization of China's forestry development and a necessary requirement for sustainable development, forest resource monitoring system is an important part. In recent years, with the rapid development of GPS technology to the core GPS positioning technology has been widely used for measuring the survey of forest resources, but by the forest terrain, water, climate, forest effects, GPS for forest resources as means a relatively low accuracy. How to improve the accuracy of the survey of forest resources has become a serious problem.In response to this demand, a full analysis of forestry resources in the course of the investigation of requirements, process, interfering factors on the basis of a thesis based on genetic neural network and RTK-GPS combines the GPS positioning methods and implementation. The main thesis to complete the work and achievements are as follows:â‘ In understanding the mapping and survey of forest resources based on the analysis of disturbances of forest resources mapping survey of the existing methods of differential GPS, combined with mapping and investigation of forest resources need to select the RTK positioning as a means of difference method, taking into account the Forestry interference factors in the proposed prediction algorithm and an intelligent combination of RTK difference algorithm to improve the program.â‘¡Full discussion of advantages and disadvantages of various types of intelligent prediction algorithm based on the combination of the actual situation survey of forest resources, is proposed based on genetic neural network intelligent prediction algorithm; then with artificial neural networks and genetic algorithms to achieve the principle of genetic neural network is given Method of realizing a combination of differential and RTK technology program.â‘¢Forest Resources combines the needs and characteristics of each operator on the structure of neural networks, learning methods, genetic operators encoding, compiling, hybrid strategy, designed fitness function is obtained genetic neural network implementation. â‘£Proposed that the proposed neural network based on genetic RTK-GPS technology in the forest and the kind of digital mapping to locate the actual implementations, internal and foreign trade of the implementation process and implementation of contentThrough field trips and full discussion, to the investigation of existing forest resources in terms of hardware and software commonly used to achieve the proposed method, the paper proposes the design of technical solutions and applications to the relevant Gorge Forest Suining the actual investigation process, The results showed that all of the method is effective and meets the design goals to meet the actual needs of forest survey.