Iron and steel plant remote sensing extraction method based on industrial production activity characteristics

Abstract

Industrial thermal pollution seriously harms urban ecological environment quality, while great manpower and material resources need to be consumed for field investigation of factories, and there is noiron and steel plant extraction method and process based on remote sensing means at present. Aiming at the problems, the invention discloses an iron and steel plant remote sensing extraction method based on industrial production activity characteristics. The method comprises the following steps: 1) carrying out Landsat8 remote sensing image radiation correction and surface temperature remote sensing inversion; 2) counting a surface temperature value distribution condition of a whole scene thermal infrared image, and determining a final threshold value of a first 4%-5% high temperature interval in the image; 3) carrying out I-type thermal anomaly identification: extracting and vectorizing a high-temperature region of the first 4%-5% temperature interval in the whole scene thermal infraredremote sensing image; 4) calculating an average value and a standard deviation according to the surface temperature value distribution condition of the whole scene thermal infrared image; 5) carryingout II-type thermal anomaly identification: extracting and vectorizing an abnormal change region of which the temperature change difference value in the same season is greater than a sum of the average value and a half standard deviation (i.e. Value is greater than mu+sigma / 2); and 6) fusing thermal anomaly extraction results, i.e., solving a union set of the I-type thermal anomaly identificationresult and the II-type thermal anomaly identification result to obtain a final thermal anomaly extraction result so as to lock a suspected iron and steel plant in a city.

Description

technical field [0001] The invention relates to a remote sensing extraction method for iron and steel plants based on the characteristics of industrial production activities. Aiming at the problem of rapid identification of industrial heat sources such as iron and steel plants in cities, a remote sensing extraction method for thermal abnormal areas based on thermal infrared remote sensing data is proposed, so as to obtain suspected Spatial distribution and geographic location information of steel plants. First, based on the heat dissipation phenomenon in the working state of the iron and steel plant, the high temperature area in a single thermal infrared image is judged as a type I thermal anomaly; second, the difference in temperature within the same quarter is greater than the average value and half The abnormal change area of ​​the sum of one standard deviation (that is, Value>μ+σ / 2) is judged as type II thermal abnormality. Extract suspected steel plants by means of re...

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Problems solved by technology

[0005] Aiming at the lack of methods for rapidly extracting thermal anomalies in cities by means of remote sensing in the existing research, the purpose of this invention is to propose a remote sensing method for iron and steel plants based on the characteristics of industrial production activities Extraction method, using thermal infrared remote sensing images to quickly identify the spatial distribution and geographical location of suspected steel plants in the city

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