Abstract
The next generation Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2)/Advanced Topographic Laser Altimeter System (ATLAS) was launched in 2018 to provide large amounts of spaceborne laser altimetry data. The joint block adjustment with laser altimetry data and satellite remote sensing images can promote limited stereoscopic positioning accuracy without ground control points (GCPs). However, there are two problems in the joint block adjustment, that is, the reliable ATLAS laser altimetry points (LAPs) selection and the discrepancies of image-object points. To solve the above problems, a surface point cloud extraction algorithm based on wavelet reconstruction was proposed. Then, the LAPs selection constraint model was established, so the terrain influence was resolved. Finally, a block joint adjustment method has been proposed with remote sensing images and the reliable LAPs considering error of their plane coordinates, which could achieve the accurate corresponding image points of the reliable LAPs, remarkably decrease the discrepancies of image-object points. Fourteen pairs of ATLAS data, seven ZY3-02 stereo images and eleven Mapping Satellite-1 stereo images in Zhengzhou, China were collected to validate the method performance. Experiment results have shown that the consistency of the image-object points and the positioning accuracy of stereoscopic images without GCPs have been improved. Compared with the free net block adjustment, the height, east and north positioning accuracy of ZY3-02 and Mapping Satellite-1 stereo images have increased by 61%, 56%, 60% and 56%, 38%, 37%, respectively.
Highlights
Remote sensing satellites provide high-quality surveying and mapping products
A) Selection of Reliable laser altimetry points (LAPs) To effectively execute block adjustment based on ATL03 LAPs and satellite stereo images, ATL03 ground points need to be extracted first
The results suggest that LAPs can be used as control points after selection
Summary
Remote sensing satellites provide high-quality surveying and mapping products. High-precision stereo surveying typically uses uniform GCPs to ensure accurate geometric positioning of satellite image block adjustment. Obtaining high-precision data from GCPs is time consuming and labor intensive, and in some areas, it is difficult to obtain ground control information, which makes it challenging to further improve the accuracy of stereo mapping. Higher precision and denser laser altimeter data can be obtained, which can improve the accuracy of stereo mapping without GCPs. Much of the work on the combined processing of optical camera images and laser altimeter data began on planetary observations. In the applications of Mars topographic mapping, Rosiek et al [1] used Mars Orbiter Laser Altimeter (MOLA) laser ranging information as the control information for Viking Orbiter images to perform bundle adjustment.
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