FIRE point detection algorithm based on MODIS radiation angle normalization

Forest fire seriously affects the stability of the ecosystem, and the fire is very sudden and destructive. With the rapid development of remote sensing technology, remote sensing satellites have been widely used in fire monitoring because of their characteristics of high spatial and temporal resolution and wide monitoring range, but there are still problems such as insufficient use of remote sensing information, missing detection of small fire points and false fire points. Aiming at the above problems, this paper proposes a method of radiation Angle normalization to enhance the information of small fire points, and at the same time creates a prior data set to deeply mine the remote sensing data information, so as to improve the detection accuracy of small fire points.