DocumentCode :
1764692
Title :
Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System
Author :
Uto, Kuniaki ; Seki, Hiroshi ; Saito, Genya ; Kosugi, Yukio
Author_Institution :
Tokyo Inst. of Technol., Yokohama, Japan
Volume :
6
Issue :
2
fYear :
2013
fDate :
41365
Firstpage :
851
Lastpage :
860
Abstract :
A low-cost, small, lightweight hyperspectral sensor system that can be loaded onto small unmanned autonomous vehicle (UAV) platforms has been developed for the acquisition of aerial hyperspectral data. Safe and easy observation is possible under unstable illumination conditions by using lightweight and autonomous cruising. The hyperspectral sensor system, equipped with a 256-band hyperspectral sensor covering a spectral range from 340-763 nm, a GPS and a data logger, is 400 g in total weight. The acquisition period for each sampling, 768 bytes, is 100 ms. The aerial hyperspectral data of rice paddies are collected under cloudy weather. The flight altitude from the ground is 10 m, and the cruising speed is 2 m/s. The high-accuracy estimation of the chlorophyll densities is confirmed, even under unstable illumination conditions, by frequent monitoring of the illumination level and the chlorophyll indices, based on the red-edge (RE) and near infrared (NIR) spectral ranges.
Keywords :
autonomous aerial vehicles; geophysical image processing; image classification; terrain mapping; UAV mounted miniature hyperspectral sensor system; aerial hyperspectral data acquisition; chlorophyll indices; cloudy weather; flight altitude; illumination condition; near infrared spectral range; red edge spectral range; rice paddies classification; time 100 ms; unmanned autonomous vehicle; wavelength 340 nm to 763 nm; Data acquisition; Global Positioning System; Hyperspectral imaging; Sensor systems; Vegetation mapping; UAV; agriculture; chlorophyll; hyperspectral image;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2250921
Filename :
6482672
Link To Document :
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