Method of optimizing variation function parameter fitting of forest resource management

A variogram and forest resource technology, applied in the field of variogram optimization, can solve problems such as increasing computational complexity, and achieve the effects of strengthening forest resource management, and realizing timely updates and periodic management plans.

Inactive Publication Date: 2017-06-09
XINJIANG AGRI UNIV +1
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But the difficulty brought by this method is the increase in computationa

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  • Method of optimizing variation function parameter fitting of forest resource management
  • Method of optimizing variation function parameter fitting of forest resource management
  • Method of optimizing variation function parameter fitting of forest resource management

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[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are the embodiment of the present invention Some, but not all, embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] In order to facilitate the understanding of the embodiments of the present invention, further explanations will be given below in conjunction with the accompanying drawings and specific embodiments as examples, and the embodiments do not constitute limitations on the embodiments of the present invention.

[0028] Resource management is carried out a...

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Abstract

The invention discloses a method of optimizing variation function parameter fitting of forest resource management. The method comprises steps that a satellite is used to acquire remote sensing image data of forest resources, and a computer terminal is used for data statistics and quantitative processing of sampling areas; data particle swarm optimization is carried out, and by adopting a K-mean partitioning method, partitioning clustering of variable parameter sets is carried out, and then the fitting of the variable parameters is carried out; by adopting a support vector regression method, the optimization of the variation function parameter fitting of the multidimensional eigenvectors of the sampling areas is carried out. The method is advantageous in that by aiming at various multi-temporal multi-source remote sensing data having different resolutions and multiple space scales of domestic and oversea satellite systems, requirements of forestry department of various stages on forest resource management informatization are better satisfied after the above mentioned optimization, and an object of enhancing the forest resource management is achieved, and at the same time, the timely updating and the phased management planning of the forest resource data are realized.

Description

technical field [0001] The invention belongs to the technical field of variation function optimization, and specifically relates to an optimization method for fitting variation function parameters of forest resource management. Background technique [0002] Forest resources are the material basis of forestry production, and the status of forest resources is the most important symbol to measure the effectiveness of forestry work. In the process of forest development, due to the influence of human management activities and natural factors, forest resources are always in a dynamic change of growth and decline. Therefore, it is necessary to strengthen the management and supervision of forest resources and establish a scientific and effective management system. The main objects of forest resource management are forest land, forest trees, wild animals and plants, and the forest environment. [0003] The variation function refers to the mathematical expectation of the square of th...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q10/04G06Q50/02G06N3/00
CPCG06N3/006G06Q10/04G06Q50/02G06V20/188G06F18/2321G06F18/241
Inventor 朱静王博勾志楠石砦顾相平郑隽
Owner XINJIANG AGRI UNIV
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