Method for identifying field characteristics of coal mine area by fusing star/airborne image data

Abstract

The invention discloses a method for identifying field characteristics of a coal mine area through star/airborne image fusion. The method comprises the following steps: 1, selecting a flight site anda flight target plan according to a high-resolution remote sensing image; 2, planning the flight route and height of the unmanned aerial vehicle; 3, selecting a take-off point and controlling a flightprocess; 4, storing, transferring and analyzing aerial photography data of the unmanned aerial vehicle; and 5, mining area ground resource classification evaluation. According to the method, throughmutual cooperation of the high-resolution remote sensing images and the low-altitude unmanned aerial vehicle data, aerial photography display point drawing analysis is carried out on the coal mine industrial site according to the characteristics of the mining area industrial site, identification, classification and resource evaluation of the characteristics of the coal mine industrial site are achieved, the measurement and evaluation efficiency is improved, and high adaptability and popularization are achieved.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle photogrammetry, in particular to a method for identifying coal mine site characteristics through fusion of satellite / airborne image data. Background technique [0002] With the massive mining of coal resources, resource-exhausted mines have increased significantly, forming a large number of mining sites. Mining sites not only have irreversible adverse effects on the natural environment, but also cause serious waste of resources. The identification and classification of industrial sites in mining areas and the assessment of industrial site resources are of great significance to the transformation, development and governance of mining areas. In the existing technology, the identification of mining areas is often based on the relevant information of on-site surveys by personnel. However, due to the large area of ​​mining areas and complex terrain , manual operations cannot effectively conduct ...

AI Technical Summary

Problems solved by technology

Mining sites not only have irreversible adverse effects on the natural environment, but also cause serious waste of resources

The identification and classification of industrial sites in mining areas and the assessment of industrial site resources are of great significance to the transformation, development and governance of mining areas. In the existing technology, the identification of mining areas is often based on the relevant information of on-site surveys by personnel. However, due to the large area of ​​mining areas and complex terrain , manual operations cannot effectively conduct a comprehensive survey of the mining area, and must spend a lot of manpower and material resources. Therefore, an efficient method for identifying the characteristics of the coal mine site is proposed, which is of great significance to the study of the coal mine site.

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