High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data

Ye, Jiang; Qiang, Yuxuan; Zhang, Rui; Liu, Xinguo; Deng, Yixin; Zhang, Jiawei

doi:10.3390/rs14010142

Open AccessArticle

High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data

by

Jiang Ye

^1,*

,

Yuxuan Qiang

¹,

Rui Zhang

²

,

Xinguo Liu

¹,

Yixin Deng

¹ and

Jiawei Zhang

¹

College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China

²

Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

^*

Author to whom correspondence should be addressed.

Remote Sens. 2022, 14(1), 142; https://doi.org/10.3390/rs14010142

Submission received: 26 November 2021 / Revised: 23 December 2021 / Accepted: 27 December 2021 / Published: 29 December 2021

(This article belongs to the Topic High-Resolution Earth Observation Systems, Technologies, and Applications)

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Abstract

The lack of ground control points (GCPs) affects the elevation accuracy of digital surface models (DSMs) generated by optical satellite stereo images and limits the application of high-resolution DSMs. It is a feasible idea to use ICESat-2 (Ice, Cloud, and land Elevation Satellite-2) laser altimetry data to improve the elevation accuracy of optical stereo images, but it is necessary to accurately match the two types of data. This paper proposes a DSM registration strategy based on terrain similarity (BOTS), which integrates ICESat-2 laser altimetry data without GCPs and improves the DSM elevation accuracy generation from optical satellite stereo pairs. Under different terrain conditions, Worldview-2, SV-1, GF-7, and ZY-3 stereo pairs were used to verify the effectiveness of this method. The experimental results show that the BOTS method proposed in this paper is more robust when there are a large number of abnormal points in the ICESat-2 data or there is a large elevation gap between DSMs. After fusion of ICESat-2 data, the DSM elevation accuracy extracted from the satellite stereo pair is improved by 73~92%, and the root mean square error (RMSE) of Worldview-2 DSM reaches 0.71 m.

Keywords: terrain similarity; digital surface model; ICESat-2; high-resolution satellite image

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MDPI and ACS Style

Ye, J.; Qiang, Y.; Zhang, R.; Liu, X.; Deng, Y.; Zhang, J. High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data. Remote Sens. 2022, 14, 142. https://doi.org/10.3390/rs14010142

AMA Style

Ye J, Qiang Y, Zhang R, Liu X, Deng Y, Zhang J. High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data. Remote Sensing. 2022; 14(1):142. https://doi.org/10.3390/rs14010142

Chicago/Turabian Style

Ye, Jiang, Yuxuan Qiang, Rui Zhang, Xinguo Liu, Yixin Deng, and Jiawei Zhang. 2022. "High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data" Remote Sensing 14, no. 1: 142. https://doi.org/10.3390/rs14010142

APA Style

Ye, J., Qiang, Y., Zhang, R., Liu, X., Deng, Y., & Zhang, J. (2022). High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data. Remote Sensing, 14(1), 142. https://doi.org/10.3390/rs14010142

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High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data

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