Paper
14 March 2003 Hue algorithm for plant healthiness monitoring using multispectral infrared camera system
Motoharu Fujigaki, Masafumi Miwa, Atsushi Nakashima, Masato Soga, Hiroki Tanikawa, Koji Kato
Author Affiliations +
Abstract
Environment preservations of the forest become world-widely close-up. The remote sensing technologies by satellite have been used for observation of the forest. However, the observation system on the ground is also needed because the remote sensing by satellite is seriously hindered by atmospheric phenomena and detailed data are necessary for precise analysis of the state of forest. Therefore we developed a multispectral infrared camera system for plant healthiness monitoring. The infrared camera system has five infrared bandpass filters. A hue is defined from the five infrared images. We performed several experiments to confirm that the hue changes according as the plant healthiness decline. In this paper, we propose a plant healthiness evaluation method by detecting hue changes with time. Experimental results of observation of hue changes of a plant through a day using the multispectral infrared camera system are shown. The results show that hue in healthiness parts of plants are more stable than in weak parts when the circumambient conditions such as the sunshine condition are changed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Motoharu Fujigaki, Masafumi Miwa, Atsushi Nakashima, Masato Soga, Hiroki Tanikawa, and Koji Kato "Hue algorithm for plant healthiness monitoring using multispectral infrared camera system", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.462348
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Infrared cameras

Optical filters

Image filtering

Imaging systems

Infrared imaging

Infrared radiation

Remote sensing

Back to Top