On-Orbit Performance and Hyperspectral Data Processing of the TIRSAT CubeSat Mission

A miniaturized hyperspectral camera, developed by integrating a linear variable band-pass filter (LVBPF) with an image sensor, was installed on the TIRSAT 3U CubeSat, launched on 17 February 2024 by Japan’s H3 launch vehicle. The satellite and its onboard hyperspectral camera conducted on-orbit experiments and successfully acquired hyperspectral data from multiple locations. The required attitude control for the hyperspectral mission was also achieved. CubeSat-based hyperspectral missions often face challenges in image alignment due to factors such as parallax, distortion, and limited attitude stability. This study presents solutions to these issues, supported by actual observational hyperspectral data. To verify the consistency of the hyperspectral data acquired by TIRSAT and processed using the proposed method, a validation analysis was conducted.

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Publication Details

Journal
Remote Sensing
Published
2025-05-30
DOI
https://doi.org/10.3390/rs17111903
Primary Topic
Spacecraft Design and Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

On-Orbit Performance and Hyperspectral Data Processing of the TIRSAT CubeSat Mission

Yoshihide Aoyanagi, Tadahiko Doi, Hiroshi SAWAZAKI, Takahiro Yamazaki et al.
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article

On-Orbit Performance and Hyperspectral Data Processing of the TIRSAT CubeSat Mission

Yoshihide Aoyanagi, Tadahiko Doi, Hiroshi SAWAZAKI, Takahiro Yamazaki, Yoshihisa Shimada, Hajime Arai, Masakazu Yasuda
article en

Abstract

A miniaturized hyperspectral camera, developed by integrating a linear variable band-pass filter (LVBPF) with an image sensor, was installed on the TIRSAT 3U CubeSat, launched on 17 February 2024 by Japan’s H3 launch vehicle. The satellite and its onboard hyperspectral camera conducted on-orbit experiments and successfully acquired hyperspectral data from multiple locations. The required attitude control for the hyperspectral mission was also achieved. CubeSat-based hyperspectral missions often face challenges in image alignment due to factors such as parallax, distortion, and limited attitude stability. This study presents solutions to these issues, supported by actual observational hyperspectral data. To verify the consistency of the hyperspectral data acquired by TIRSAT and processed using the proposed method, a validation analysis was conducted.

Remote SensingVol. 17(11)
University of Fukui (JP), Seiren (Japan) (JP)
Ministry of Economy, Trade and Industry, Agency for Natural Resources and Energy
Openalex Percentile: Top 84%
Spacecraft Design and Technology
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