A fast estimation of topographic slope based on Chang'E-3 descent images

Xiaohuan Xie; Qian Huang; Shijie Liu

doi:10.1117/12.3010322

15 November 2023 A fast estimation of topographic slope based on Chang'E-3 descent images

Xiaohuan Xie, Qian Huang, Shijie Liu

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128150O (2023) https://doi.org/10.1117/12.3010322
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Chang'E-3 landing camera takes high-resolution descent images with continuous time series for autonomous obstacle avoidance based on machine vision. The descent image sequence can provide rich surface topographic information. However, due to the dilemma of manual operation, high-precision slope maps are difficult to produce in real time based on descent image sequences for lander navigation and obstacle avoidance. In this paper, we use a blocking strategy for a single frame of Chang'E-3 descent images to estimate the slope of each sub-region independently without relying on the initial values of the terrain. Finally, we achieve a fast and accurate estimation of the distribution of hazard zones. The experiment proves the validity of the method, which only takes about 2 seconds to estimate more than 99% of the distribution of the hazard zones. This serves a reference for landing navigation and obstacle avoidance for future lunar exploration program.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaohuan Xie, Qian Huang, and Shijie Liu "A fast estimation of topographic slope based on Chang'E-3 descent images", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128150O (15 November 2023); https://doi.org/10.1117/12.3010322

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