Multi-Bandpass Filter Coarse Decomposition for Cubesat Multi-Spectral Imager

Type of content
Conference Contributions - Published
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Date
2017
Authors
Park JH
Muruganandan VA
Lee S-Y
Jeung I-S
Lee S-K
Lee Y-J
Lee E-S
Jang B-K
Kim JS
Abstract

Recent missions such as Planet Labs Dove have shown relatively high resolution imaging capabilities using CubeSats, with resolutions up to 5 m. Such resolutions are sufficient in capturing large characteristic features of agriculture, deforestation, or disaster. However, multi-band imaging is required in acquiring normalized difference indices, which help identify such characteristic features. Due to the limitations of mass and volume in CubeSat, a multi-bandpass filter must be applied and the image data must be decomposed. This paper discusses a simple decomposition method for an onboard imager.

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Citation
Park JH, Muruganandan VA, Lee S-Y, Jeung I-S, Lee S-K, Lee Y-J, Lee E-S, Jang B-K, Kim JS (2017). Multi-Bandpass Filter Coarse Decomposition for Cubesat Multi-Spectral Imager. Jeju, South Korea: Korean Society for Aeronautical and Space Science 2017 Fall Conference.
Keywords
Multi-spectral imager, CubeSat, Multi-bandpass filter, Coarse decomposition
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::40 - Engineering::4006 - Communications engineering::400606 - Satellite communications
Fields of Research::51 - Physical sciences::5104 - Condensed matter physics::510402 - Condensed matter imaging
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