@inproceedings{a2dc5bd08bd54b7dadf24d31eba2e1e5,
title = "3D lunar craters detection based on stereo matching",
abstract = "In this paper, we focus on the 3D crater detection problem on lunar surface, which helps high-precision spacecraft landing and rover navigation in moon exploration projects. A random structured forests method is firstly applied to detect the 2D edges of craters, and then dense correspondence between CCD stereo images estimates the elevations of craters. Finally, we propose a 3D crater detection model, which is solved by an iterative optimization algorithm with the initial 2D edge. Our method is evaluated on three pairs of stereo images captured by Chang'E-I satellite. Experimental results show that the 3D craters in each pair are quickly and accurately located, which demonstrate the effectiveness and efficiency.",
keywords = "Crater detection, DEM, stereo matching",
author = "Hongmei Zhu and Jihao Yin and Ding Yuan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8127458",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2333--2336",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
address = "美国",
}