Precise mapping of open beach areas by combining laser point clouds and stereo optical satellite imagery

doi:10.6046/zrzyyg.2023118

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Abstract

This study aims to overcome the challenges of precise mapping of open beach areas using stereo satellite imagery. Based on the complementary characteristics of stereo optical satellite imagery and light detection and ranging (LiDAR) point cloud data in geometric positioning, this study developed a high-precision mapping method that employed high-precision LiDAR point cloud data for generalized control. First, the LiDAR depth map was matched with the optical satellite images to extract corresponding point pairs for generalized control. Then, the images and control points were used as inputs for adjustment to achieve an accurate geometric positioning of the images. Finally, guided by LiDAR point cloud data and in combination with multi-baseline and multi-primitive matching algorithms and the geomorphologic refined matching (GRM) algorithm, a high-precision digital surface model (DSM) for open beach areas was automatically extracted. The results of this study indicate that the combined use of laser point clouds and stereo satellite imagery, along with photogrammetric technology, allows for the quick and accurate preparation of high-precision topographic maps of open beach areas. This study provides valuable guidance for the precise mapping of open beach areas.

Keywords stereo optical satellite LiDAR point cloud geometric positioning DSM automatic extraction

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Issue Date: 23 December 2024

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	Zongwei WANG
	Minyan LU
	Yilin FAN

Cite this article:

Zongwei WANG,Minyan LU,Yilin FAN. Precise mapping of open beach areas by combining laser point clouds and stereo optical satellite imagery[J]. Remote Sensing for Natural Resources, 2024, 36(4): 135-141.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023118 OR https://www.gtzyyg.com/EN/Y2024/V36/I4/135

Fig.1 Technical flowchart of this study

Fig.2 Location of the research area

Fig.3 Stereoscopic satellite image pairs

Fig.4 3D laser point cloud data

Fig.5 Automatic extraction of image control point distribution maps from LiDAR and GF-7 stereo satellite images

Fig.6 Comparison of pure image matching accuracy under uncontrolled and controlled conditions

Fig.7 Comparison of DSM effect generated by laser point cloud aided matching and direct matching after geometric positioning of satellite imagery

Fig.8 Comparison of accuracy between pure image matching and laser point cloud assisted matching under controlled conditions

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