The path-tracing simulation of light-field camera system: SurfCam/GrainCams for lunar surface exploration

IF 2.8 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS Advances in Space Research Pub Date : 2025-02-15 Epub Date: 2024-12-16 DOI:10.1016/j.asr.2024.12.029
Minbae Kim , Minsup Jeong , Mingyeong Lee , Jihun Kim , Young-Jun Choi , Sungsoo S. Kim , Hae-Gon Jeon , Jisu Shin
{"title":"The path-tracing simulation of light-field camera system: SurfCam/GrainCams for lunar surface exploration","authors":"Minbae Kim ,&nbsp;Minsup Jeong ,&nbsp;Mingyeong Lee ,&nbsp;Jihun Kim ,&nbsp;Young-Jun Choi ,&nbsp;Sungsoo S. Kim ,&nbsp;Hae-Gon Jeon ,&nbsp;Jisu Shin","doi":"10.1016/j.asr.2024.12.029","DOIUrl":null,"url":null,"abstract":"<div><div>The SurfCam is being developed to understand the microscopic lunar surface structures known as the fairy castle structure, composed of grains with an average size of a few tens of microns. It is designed as a microscopic light-field camera (LFC) and is one of the camera instrument packages in GrainCams, a candidate payload for NASA’s Commercial Lunar Payload Services (NASA/CLPS). The light-field camera system allows for obtaining depth maps and 3D images of lunar surface structures on a scale of tens of microns by capturing a 4D light field. This camera system can be achieved by adding a microlens array (MLA) between the main optics and the sensor in a typical camera system. The Cycles render engine, a physically-based path-tracing (one of the ray-tracing types) renderer of Blender 3D software, helps to simulate realistic light-field images. We performed path-tracing simulations by configuring SurfCam’s optics and creating test objects to confirm depth estimation results in Blender 3D. In this study, we present the results of simulated images and analyze them based on the current design of the SurfCam.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 4050-4060"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Space Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0273117724012419","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

The SurfCam is being developed to understand the microscopic lunar surface structures known as the fairy castle structure, composed of grains with an average size of a few tens of microns. It is designed as a microscopic light-field camera (LFC) and is one of the camera instrument packages in GrainCams, a candidate payload for NASA’s Commercial Lunar Payload Services (NASA/CLPS). The light-field camera system allows for obtaining depth maps and 3D images of lunar surface structures on a scale of tens of microns by capturing a 4D light field. This camera system can be achieved by adding a microlens array (MLA) between the main optics and the sensor in a typical camera system. The Cycles render engine, a physically-based path-tracing (one of the ray-tracing types) renderer of Blender 3D software, helps to simulate realistic light-field images. We performed path-tracing simulations by configuring SurfCam’s optics and creating test objects to confirm depth estimation results in Blender 3D. In this study, we present the results of simulated images and analyze them based on the current design of the SurfCam.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
月面探测光场相机系统的路径跟踪仿真:SurfCam/GrainCams
SurfCam的开发是为了了解被称为仙女城堡结构的月球表面微观结构,这种结构由平均大小为几十微米的颗粒组成。它被设计成一个微观光场相机(LFC),是GrainCams中的相机仪器包之一,是美国宇航局商业月球有效载荷服务(NASA/CLPS)的候选有效载荷。光场相机系统通过捕获4D光场,可以获得数十微米尺度的月球表面结构的深度图和3D图像。这种相机系统可以通过在典型相机系统的主光学元件和传感器之间添加微透镜阵列(MLA)来实现。Cycles渲染引擎是Blender 3D软件的一个基于物理的路径跟踪(光线跟踪类型之一)渲染器,有助于模拟逼真的光场图像。我们通过配置SurfCam的光学器件和创建测试对象来执行路径跟踪模拟,以确认Blender 3D中的深度估计结果。在本研究中,我们给出了模拟图像的结果,并基于SurfCam的现有设计对其进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Advances in Space Research
Advances in Space Research 地学天文-地球科学综合
CiteScore
5.20
自引率
11.50%
发文量
800
审稿时长
5.8 months
期刊介绍: The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc. NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR). All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.
期刊最新文献
Evaluating the performance of coastal virtual stations from different combinations of altimetry missions Shallow feature reconstruction and dimensional collaborative linear-attention network for segmentation of remote sensing images Machine learning-based detection of fusarium wilt in tomato using ground-based and satellite hyperspectral imagery An assessment of regional variations in cloud characteristics using machine learning models: a case study over north-western and north-eastern regions of India Assessment of urban spatial patterns and land use efficiency in Tiruchirappalli city, Tamil Nadu, India
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1