Multi-stereoscopic-image fusion drawing method considering different illumination imaging conditions

Abstract

The invention relates to a multi-stereoscopic-image fusion drawing method considering different illumination imaging conditions. The method comprises the following steps: step one, acquiring an existing image of a research area and selecting a multi-coverage stereo image pair; step two, constructing an imaging geometric model of a remote sensing image; step three, carrying out initial matching onthe stereo image pair to obtain same-name points; step four, carrying out stereoscopic image area network beam method adjustment on the imaging geometric model obtained at the step two to obtain a refined imaging geometric model; step five, carrying out dense matching on each group of stereoscopic image pairs to obtain an image-space dense same-name point set of all groups of stereoscopic image pairs; step six, on the basis of the refined imaging geometric model obtained at the step four, carrying out forward intersection on the image-space dense same-name points obtained by the step five to obtain a dense three-dimensional point cloud of the object space, carrying out grid division and interpolation to obtain a DEM, and carrying out DEM fusion to obtain a hole-free DEM; and step seven, according to the hole-free DEM and the refined imaging geometric model, a DOM being an image with geographic information after terrain correction is obtained.

Description

technical field [0001] The invention relates to a multi-stereo image fusion drawing method considering different illumination and imaging conditions, and relates to the technical field of stereo photogrammetry in photogrammetry. Background technique [0002] Remote sensing mapping of the surface of planets (Moon, Mars) is a basic task in planetary exploration missions. It provides a geographic reference basis for planetary scientific exploration mission planning and scientific research, and is a basic means of obtaining planetary morphology and structure information. The current planetary orbiter remote sensing image mapping of the same area is mostly based on a pair of stereo images to produce high-precision topographic map products of the area. However, the information provided by a single stereoscopic image is often limited due to the influence of observation angles and lighting conditions, especially in some areas where the surface terrain has large fluctuations, shadows...

AI Technical Summary

Problems solved by technology

Because planetary orbits are different from the sun-synchronous orbits usually used by earth observation satellites, it is often impossible to guarantee the consistency of illumination when acquiring multiple coverage images, so the illumination conditions are often different during multiple coverages

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