Method for estimation of the elevation value of the Chang'e-3

被引：0
|
作者：
Zhou Z. [1 ,2 ]
Zhao M. [1 ,2 ]
Shi F. [1 ,2 ]
Chen S. [1 ,2 ]
Luan H. [1 ,2 ]
机构：
[1] School of Computer Science and Engineering, Tianjin Univ. of Technology, Tianjin
[2] Key Lab. of Computer Vision and System of Ministry of Education, Tianjin Univ. of Technology, Tianjin
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2019年 / 46卷 / 02期
关键词：
Back propagation(BP) neural network; Chang'e-3; Elevation value estimation; Moon reconstruction;
D O I：
10.19665/j.issn1001-2400.2019.02.023
中图分类号：
学科分类号：
摘要：
According to the image taken by the Chang'e-3 as a near moon image, the elevation value cannot be obtained without a laser altimeter, and a method to estimate the elevation value of the Chang'e-3 is proposed. The method is based on the "Chang'e-2" multi-sensor data and trains the BP neural network model of the corresponding relationship between the feature descriptors and the elevation values in the image. Then, the corresponding elevation values are estimated using the features of the high precision image of the Chang'e-3. Exxperimental results show that the proposed method can reduce the elevation value estimation error to 3.94%. Therefore, the elevation value of the "Chang'e-3" is reliable and can be applied to high-precision moon reconstruction. © 2019, The Editorial Board of Journal of Xidian University. All right reserved.
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页码：139 / 144
页数：5
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