Inspection method of hyper spectral camera with spectrometer for forest observation

Ryotaro Komura, Takeo Nakano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The hyper spectral camera is developed and spreading the use of these instrument in the forest observation. In use of hyper spectral camera to calculate reflectance coefficient of leaves, ideally it is necessary to use two same cameras, one camera records the profile of targets and the other records the profile of light source like as sun. But in some case, it is difficult to prepare two same cameras. In this study we suggest use of adjustment parameter to compare two diffident types of instruments for observation, and apply adjustment parameter to data recorded by the hyper spectral camera and the spectrometer. As a result, the reflectance coefficient calculated from the data recorded by the hyper spectral camera and the spectrometer is similar to the coefficient calculated from only the hyper spectral camera and our method is available to investigate on the field research.

Original languageEnglish
Title of host publicationICEAST 2018 - 4th International Conference on Engineering, Applied Sciences and Technology
Subtitle of host publicationExploring Innovative Solutions for Smart Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538649565
DOIs
Publication statusPublished - Aug 13 2018
Externally publishedYes
Event4th International Conference on Engineering, Applied Sciences and Technology, ICEAST 2018 - Phuket, Thailand
Duration: Jul 4 2018Jul 7 2018

Publication series

NameICEAST 2018 - 4th International Conference on Engineering, Applied Sciences and Technology: Exploring Innovative Solutions for Smart Society

Other

Other4th International Conference on Engineering, Applied Sciences and Technology, ICEAST 2018
Country/TerritoryThailand
CityPhuket
Period7/4/187/7/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Instrumentation

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