An AOTF-based hyperspectral imaging system for field use in ecophysiological and agricultural applications

被引:56
|
作者
Inoue, Y [1 ]
Peñuelas, J
机构
[1] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 305, Japan
[2] CSIC, IBMB, ES-08034 Barcelona, Spain
[3] Univ Autonoma Barcelona, CREAF, E-08193 Barcelona, Spain
关键词
D O I
10.1080/01431160110069863
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
An AOTF (Acousto-Optic Tunable Filter)-based spectral imager was developed for hyperspectral measurement of plant reflectance in the field. A hyperspectral image cube for the spectral region between 450-900 nm could be acquired at 3 to 5 nm resolution intervals within a few seconds. The system was light and compact, and both the spectral wavelengths and intervals were programmable with PC control. Wavelengths could be tuned rapidly, either sequentially or randomly. The hyperspectral image cube for rice canopies obtained by the system showed its potential in the estimation of leaf nitrogen and chlorophyll concentrations. The AOTF-based hyperspectral system would have great potential for further investigations in remote sensing of biochemical and ecophysiological plant variables.
引用
下载
收藏
页码:3883 / 3888
页数:6
相关论文
共 50 条
  • [41] Double-AOTF-based aberration-free spectral imaging endoscopic system for biomedical applications
    Machikhin, Alexander
    Pozhar, Vitold
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2015, 8 (03)
  • [42] The use of imaging spectrometry for agricultural applications
    Clevers, JGPW
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 1999, 54 (5-6) : 299 - 304
  • [43] Reflectance calibration of focal plane array hyperspectral imaging system for agricultural and food safety applications
    Lawrence, K
    Park, B
    Windham, W
    Mao, CY
    Poole, G
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 2003, 4879 : 362 - 372
  • [44] In-field hyperspectral imaging: An overview on the ground-based applications in agriculture
    Benelli, Alessandro
    Cevoli, Chiara
    Fabbri, Angelo
    JOURNAL OF AGRICULTURAL ENGINEERING, 2020, 51 (03) : 129 - 139
  • [45] Calibration of AOTF-based 3D measurement system using multiplane model based on phase fringe and BP neural network
    Zhao, Huijie
    Shi, Shaoguang
    Jiang, Hongzhi
    Zhang, Ying
    Xu, Zefu
    OPTICS EXPRESS, 2017, 25 (09): : 10413 - 10433
  • [46] A hyperspectral fluorescence imaging system for biological applications
    Zavattini, G
    Vecchi, S
    Leahy, RM
    Smith, DJ
    Cherry, SR
    2003 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORD, VOLS 1-5, 2004, : 942 - 946
  • [47] Robust Radiometric and Geometric Correction Methods for Drone-Based Hyperspectral Imaging in Agricultural Applications
    Shin, Hyoung-Sub
    Go, Seung-Hwan
    Park, Jong-Hwa
    KOREAN JOURNAL OF REMOTE SENSING, 2024, 40 (03) : 257 - 268
  • [48] The Applications of Hyperspectral Imaging Technology for Agricultural Products Quality Analysis: A Review
    Wang, Bao
    Sun, Jianfei
    Xia, Lianming
    Liu, Junjie
    Wang, Zhenhe
    Li, Pei
    Guo, Yemin
    Sun, Xia
    FOOD REVIEWS INTERNATIONAL, 2023, 39 (02) : 1043 - 1062
  • [49] Calibration of a Fluorescence Hyperspectral Imaging System for Agricultural Inspection and Detection
    Ononye, Ambrose E.
    Yao, Haibo
    Hruska, Zuzana
    Kincaid, Russell
    SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY II, 2010, 7676
  • [50] Online hyperspectral imaging system for evaluating quality of agricultural products
    Mo, Changyeun
    Kim, Giyoung
    Lim, Jongguk
    OPTICAL MEASUREMENT SYSTEMS FOR INDUSTRIAL INSPECTION X, 2017, 10329