Zonal underground structure detection method based on sun shadow compensation

摘要

A zonal underground structure detection method based on sun shadow compensation is provided, which belongs to the crossing field of remote sensing technology, physical geography and pattern recognition, and is used to carry out compensation processing after a shadow is detected, to improve the identification rate of zonal underground structure detection and reduce the false alarm rate. The present invention comprises steps of acquiring DEM terrain data of a designated area, acquiring an image shadow position by using DEM, a solar altitude angle and a solar azimuth angle, processing and compensating a shadow area, and detecting a zonal underground structure after the shadow area is corrected. In the present invention, the acquired DEM terrain data is used to detect the shadow in the designated area; and the detected shadow area is processed and compensated, to reduce influence of the shadow area on zonal underground structure detection; finally, the zonal underground structure is detected by using a remote sensing image after shadow compensation, so that the accuracy of zonal underground structure detection is improved and the false alarm rate is reduced compared with zonal underground structure detection using a remote sensing image without shadow compensation processing.

主权项

1. A zonal underground structure detection method based on sun shadow compensation, wherein the method comprises steps of:
(1) determining latitude and longitude information of an area to be detected according to a geographic position of the area to be detected, then calculating a latitude step size and a longitude step size according to the resolution of an infrared remote sensing image, acquiring altitude information of the area to be detected according to the latitude and longitude information and the latitude step size and longitude step size of the area to be detected, and finally correcting the obtained altitude information to generate a corrected altitude image; (2) rotating the corrected altitude image by using solar azimuth angle information, calculating a ratio of a mountain body to a mountain shadow according to solar altitude angle information, determining a size and a position of a shadow in the altitude image, and processing the rotated altitude image to obtain a shadow position labeled image; (3) performing dilation processing on the obtained shadow position labeled image, and compensating a dilated shadow area; and (4) performing preliminary detection and identification on the infrared remote sensing image in which the shadow area has been compensated, and then performing a secondary judgment by using position correlation, to detect a zonal underground structure.