A neural network topographic correction method for the Lunar Reconnaissance Orbiter Diviner Christiansen feature map-Reference-Cited by-同舟云学术

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A neural network topographic correction method for the Lunar Reconnaissance Orbiter Diviner Christiansen feature map

Published:2023-10 Issue: Volume:403 Page:115645
ISSN:0019-1035
Container-title:Icarus
language:en
Short-container-title:Icarus

Author:

Ma Ming,Chen Jingran,Chen Shengbo,Lu Peng,Sun Chao,Han Chenghao

Funder

Natural Science Foundation of Jilin Province

National Natural Science Foundation of China

Chinese Academy of Sciences

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference39 articles.

1. Lunar surface rock abundance and regolith fines temperatures derived from LRO diviner radiometer data;Bandfield;J. Geophys. Res.,2011

2. Lunar surface roughness derived from LRO diviner radiometer observations;Bandfield;Icarus,2015

3. A new lunar digital elevation model from the lunar orbiter laser altimeter and SELENE terrain camera;Barker;Icarus,2015

4. Measuring moonlight: an overview of the spatial properties, lunar coverage, selenolocation, and related level 1B products of the moon mineralogy mapper;Boardman;J. Geophys. Res.,2011

5. Infrared emissivities of silicates: experimental results and a cloudy atmosphere model of spectral emission from condensed particulate mediums;Conel;J. Geophys. Res.,1969

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