The Journal of the Astronautical Sciences最新文献_第4页

Analysis of Spacecraft Materials Discrimination Using Color Indices for Remote Sensing for Space Situational Awareness 基于颜色指数的空间态势遥感航天器材料识别分析

The Journal of the Astronautical Sciences Pub Date : 2023-09-11 DOI: 10.1007/s40295-023-00400-z

Jacqueline A. Reyes, Heather M. Cowardin, Miguel Velez-Reyes

{"title":"Analysis of Spacecraft Materials Discrimination Using Color Indices for Remote Sensing for Space Situational Awareness","authors":"Jacqueline A. Reyes, Heather M. Cowardin, Miguel Velez-Reyes","doi":"10.1007/s40295-023-00400-z","DOIUrl":"https://doi.org/10.1007/s40295-023-00400-z","url":null,"abstract":"Abstract The increasing number of space missions have resulted in an augmented density of artificial objects positioned in orbital domains near Earth. Knowing the material composition of the resident space object can be of value in object identification and risk assessment using remote sensing techniques. To perform this task, it is increasingly imperative to optically characterize spacecraft materials to identify unique material-specific spectroscopic markers. In this work, a variety of materials frequently utilized by the aerospace industry in spacecraft design and construction were analyzed using reflectance spectroscopy. The collected data provide a spectral characterization baseline for modern-day and historical spacecraft materials. The color index was computed for standard astronomical and suggested theoretical filter passbands and compared to each other in their capability to discriminate materials belonging to different classes. The color index was calculated from reflectance spectra of common spacecraft materials in their pristine, as-received conditions that fell under different family groupings. Different color-index combinations were studied using color-color diagrams. Visual and quantitative analysis of the color-color diagrams were used to evaluate the possibility of discriminating materials from one another by means of optical measurements. Results of the analysis show that polyimide and photovoltaic materials are most easy to discriminate from all other materials via color indices using different filter passbands evaluated in this study.","PeriodicalId":388120,"journal":{"name":"The Journal of the Astronautical Sciences","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135982526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}