Spectroscopic behavior of various materials in a GEO simulated environment

Reyes, Jacqueline A.; Fulford, Karin W.; Plis, E.; Hoffmann, Ryan; Murray, Vanessa J.; Cowardin, Heather; Cone, Darren; Ferguson, Dale C.; Bengtson, Miles; Shah, Jainisha; Engelhart, Daniel P.

doi:10.1016/j.actaastro.2021.09.014

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…Conversely, artificial materials make up a much wider range of material types including paints, metals, photovoltaic cells, multilayer insulation, and more. Not many studies have been dedicated to the foundation of a comprehensive database of spectra of these artificial materials, but some relevant studies have focused on polyethylene terephthalate (or PET) materials, solar cell material, solar cell cover glass, aluminum, copper, and thermal control paints measured with various degrees of space-aging effects in a simulated GEO environment (Plis et al 2020(Plis et al , 2021Reyes et al 2021;Shah et al 2023). The lack of a unified spectral database along with the increased number of potential material combinations and appropriately estimated alteration effects to consider makes comparisons of artificial materials challenging (Bengtson et al 2022).…”

Section: Spectral Comparisonsmentioning

confidence: 99%

Challenges in Identifying Artificial Objects in the Near-Earth Object Population: Spectral Characterization of 2020 SO

Battle,

Reddy,

Sanchez

et al. 2024

Planet. Sci. J.

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Since the dawn of the Space Age, hundreds of payloads have been launched into heliocentric space. As near-Earth object (NEO) surveys search deeper for small asteroids, more artificial objects in heliocentric orbits are being discovered. We now face a challenge to identify the true nature of these objects and avoid contaminating the NEO catalog. Here, we present the methods used to characterize one such object. 2020 SO was discovered by the Pan-STARRS1 survey on 2020 September 17. Originally classified as a NEO, the object’s artificial nature became evident due to its low velocity relative to Earth and solar radiation pressure affecting its orbit about the Sun. Based on a backward propagation of its orbit, 2020 SO is thought to be a Centaur rocket body (R/B) from the launch of the Surveyor 2 mission to the Moon. We characterized 2020 SO using a range of ground-based optical and near-infrared telescopes to constrain its true nature. We find that its reflectance spectrum is consistent with that of other Centaur R/B launched during a similar time frame, and we identify 1.4, 1.7, and 2.3 μm absorption bands consistent with polyvinyl fluoride used on the aft bulkhead radiation shield exterior of Centaur-D R/B at the time.

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Section: Spectral Comparisonsmentioning

confidence: 99%

Challenges in Identifying Artificial Objects in the Near-Earth Object Population: Spectral Characterization of 2020 SO

Battle,

Reddy,

Sanchez

et al. 2024

Planet. Sci. J.

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“…At the same time, the geometry and surface composition of the spacecraft also determine the image quality. 10 However, under the interference of the external environment such as low and high illumination intensity, the image collected by the visible light sensor will be blurred and difficult to recognize, almost losing the capture of the texture details of the target object, and only retaining the original color information. It was proved that the visiblewavelength solutions are vulnerable to real space environment.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the geometry and surface composition of the spacecraft also determine the image quality. 10…”

Section: Introductionmentioning

confidence: 99%

An image fusion algorithm based on iterative wavelet transform for space non-cooperative targets

Zhao

Zhou

Sun

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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Due to the interference of outer space environment, the real image data of non-cooperative targets collected by a single sensor often has problems such as low contrast and insufficient color information display. In this paper, we propose an image fusion method with iterative wavelet transform, which utilizes the respective advantages of visible image and near-infrared image to improve the clarity of space non-cooperative target and retain color information. The dataset in this paper comes from the satellite model group taken by ourselves. Due to different shooting angles and resolutions, we need to carry out accurate registration of near-infrared images and visible light. Therefore, we also propose an improved registration algorithm based on ORB feature matching. In order to verify the effectiveness of the method, other image fusion methods are selected for comparative analysis. The method proposed can preserve texture features and color information of space non-cooperative targets.

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“…It becomes clear that it is not possible to determine the color index (as one of the main indicators of the optical characteristics of the reflective surface) from the brightness values in different filters obtained by the traditional method of multicolor photometry. In addition, as shown in [2,11,12], different materials used in the space industry exhibit a variety of changes due to the effects of outer space conditions, which leads to unique spectral characteristics of each of the materials. This, in turn, also makes it possible to identify the object and determine its state.…”

Section: Introductionmentioning

confidence: 99%

Spectral Observations of Geostationary Satellites

Serebryanskiy¹

2022

Eurasian phys. tech. j.

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One of the main tasks of the situational awareness system in near-Earth space is to determine the type and class of observed objects by analyzing its reflection spectra. This paper proposes a methodology and interpretation of the spectral observational data of geostationary orbit satellites obtained at the Tian Shan Astronomical Observatory (Kazakhstan) from June-December 2021. 8 geostationary objects, the type and design features of which are known were selected as observation targets. The selected satellites are stable (no fast rotation of these objects was detected) and have large reflecting surface areas. An analysis of the obtained reflection spectra shows the dependence on the phase angle of the object. The studies carried out are especially relevant for objects in high orbits, where the only currently available methods of detection and study are ground-based optical photometry and spectroscopy using meter-class telescopes.

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Spectroscopic behavior of various materials in a GEO simulated environment

Cited by 9 publications

References 19 publications

Challenges in Identifying Artificial Objects in the Near-Earth Object Population: Spectral Characterization of 2020 SO

Challenges in Identifying Artificial Objects in the Near-Earth Object Population: Spectral Characterization of 2020 SO

An image fusion algorithm based on iterative wavelet transform for space non-cooperative targets

Spectral Observations of Geostationary Satellites

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