RESEARCH ON THE TARGET MONITORING OFTHE ABNORMALLY HIGH TEMPERATURE POINT OF FOREST FIRE IN CHONGQING BASED ON THEAPPLICATION ENVIRONMENT OF DOMESTIC SATELLITE FY3-B AND FY3-C

摘要

Traditional forest fire high-temperature target monitoring methods cannot correct the geometric distortion of fire images,resulting in large deviations in the monitoring resultsof high-temperature targets. In this study, a new target monitoring method for for-est fires in Chongqing based on domestic satellite data FY3-B andFY3-Cis studied. Based on the prin-ciple of surface fire monitoring, the information data of satellites FY3-B and FY3-C are preprocessed,the radiance in the infrared band and the reflectivity in the visible light band are obtained through calibra-tion, and the brightness temperature value in the in-frared band is obtained according to Planck's law. Based on the control point data, combined with the fire point monitoring algorithm of the pixel back-ground brightness temperature, we judge the cloud pixel and the water pixel, process the suspected fire point background temperature,and filter the non-fire point pixel and flares, to achieve target monitoring of abnormally high temperature points in fire. The experimental results show that the deviation can be effectively reduced after data correction by this method. The data after the information fusion of the satellites FY3-B and FY3-C has higher positioning accuracy.At the same time, the number of fire points detected by this method is the largest, and there is no missed judgment and false judgment.