DEM gross error detection method based on large-inclination multi-angle image data projection difference

• Main Authors: LI HONGMO, MO FAN, XIE JUNFENG, ZHANG FANGXU, ZHAO LIPING, DOU XIANHUI, LYU XIN
• Format: Patent
• Language: Chinese; English
• Published: 26.07.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; GYROSCOPIC INSTRUMENTS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; MEASURING; MEASURING DISTANCES, LEVELS OR BEARINGS; NAVIGATION; PHOTOGRAMMETRY OR VIDEOGRAMMETRY; PHYSICS; SURVEYING; TESTING

The invention discloses a DEM gross error detection method based on a large-inclination multi-angle image data projection difference, and relates to the technical field of DEM gross error detection. According to the method, a space reference relationship between large-inclination multi-angle image data and DEM data is determined in advance through ground control data, an image data space imaging geometrical relationship is used as a link, orthographic correction is performed on the multi-angle image data by means of DEM ground elevation data, and a large-inclination multi-angle image is obtained. And detecting gross errors existing in the DEM data by analyzing the geometric alignment precision between pixels of the multi-scene orthographic correction image data one by one. Compared with a traditional DEM gross error detection method, the method fully introduces the significant important characteristic of the projection difference of a large-inclination image, and fully utilizes the advantage of repeated obser