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

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dc.contributor.authorPark JH
dc.contributor.authorMuruganandan VA
dc.contributor.authorLee S-Y
dc.contributor.authorJeung I-S
dc.contributor.authorLee S-K
dc.contributor.authorLee Y-J
dc.contributor.authorLee E-S
dc.contributor.authorJang B-K
dc.contributor.authorKim JS
dc.date.accessioned2021-01-18T23:16:30Z
dc.date.available2021-01-18T23:16:30Z
dc.date.issued2017en
dc.date.updated2020-09-29T20:54:46Z
dc.description.abstractRecent 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.en
dc.identifier.citationPark 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.en
dc.identifier.urihttps://hdl.handle.net/10092/101480
dc.language.isoen
dc.rightsAll rights reserved unless otherwise stateden
dc.rights.urihttp://hdl.handle.net/10092/17651en
dc.subjectMulti-spectral imageren
dc.subjectCubeSaten
dc.subjectMulti-bandpass filteren
dc.subjectCoarse decompositionen
dc.subject.anzsrcFields of Research::40 - Engineering::4006 - Communications engineering::400606 - Satellite communicationsen
dc.subject.anzsrcFields of Research::51 - Physical sciences::5104 - Condensed matter physics::510402 - Condensed matter imagingen
dc.titleMulti-Bandpass Filter Coarse Decomposition for Cubesat Multi-Spectral Imageren
dc.typeConference Contributions - Publisheden
uc.collegeFaculty of Engineering
uc.departmentElectrical and Computer Engineering
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