Liquid trace detection and identification by spectral reflectance model

被引:0
|
作者
Aharoni, Ran [1 ]
Elisha, Shmuel [1 ]
Peri, David [1 ]
Kendler, Shai [1 ]
机构
[1] Israel Inst Biol Res, Dept Environm Phys, Ness Ziona, Israel
关键词
remote sensing; spectroscopy; surfaces; scattering; laser spectroscopy; KRAMERS-KRONIG ANALYSIS; ORGANIC-COMPOUNDS; ENVIRONMENT;
D O I
10.1117/1.OE.58.7.074104
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A basic concept for detection and identification of liquid phase chemicals that may harm the environment is presented. Reliable detection is shown to be possible using a simplified model describing a uniform layer as well as realistic dispersal, shown to be in nonuniform irregular surface coverage. The results are dependent upon the effect of droplet size and spectral scattering from liquid-air interface on the measured scattered light. This information is crucial for accurate identification for on-site real-time sensing. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
下载
收藏
页数:8
相关论文
共 50 条
  • [21] Simulation of skin spectral reflectance based on an empirical model
    Kawazoe, D
    Takase, K
    Tsumura, N
    Nakaguchi, T
    Miyake, Y
    2005 PACIFIC RIM CONFERENCE ON LASERS AND ELECTRO-OPTICS, 2005, : 387 - 389
  • [22] Early disease detection in wheat fields using spectral reflectance
    Bravo, C
    Moshou, D
    West, J
    McCartney, A
    Ramon, H
    BIOSYSTEMS ENGINEERING, 2003, 84 (02) : 137 - 145
  • [23] Detection of Corn Chlorophyll Content Using Canopy Spectral Reflectance
    Sun Hong
    Li Minzan
    Zhang Yane
    Zhao Yong
    Wang Haihua
    SENSOR LETTERS, 2010, 8 (01) : 134 - 139
  • [24] SPECTRAL DETECTION OF METALLOPORPHYRINS USING WHOLE ROCK REFLECTANCE SPECTROSCOPY
    HOLDEN, PN
    GAFFEY, MJ
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1990, 199 : 88 - GEOC
  • [25] Detection Model and Spectral Disease Indices for Poplar (Populus L.) Anthracnose Based on Hyperspectral Reflectance
    Jia, Zhicheng
    Duan, Qifeng
    Wang, Yue
    Wu, Ke
    Jiang, Hongzhe
    FORESTS, 2024, 15 (08):
  • [26] A new constraint on spectral reflectance and its application in illuminant detection
    Jiang, XY
    Fairchild, MD
    COLOR IMAGING VIII: PROCESSING, HARDCOPY, AND APPLICATIONS, 2003, 5008 : 186 - 196
  • [27] Detection of nitrogen status in FCV tobacco leaves with the spectral reflectance
    Li, FL
    Liu, LY
    Wang, JH
    Li, X
    Zhao, CJ
    Cao, WX
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 1863 - 1866
  • [28] Detection of citrus black spot symptoms using spectral reflectance
    Xie, Chuanqi
    Lee, Won Suk
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2021, 180
  • [29] Investigating the rate of turbidity impact on underwater spectral reflectance detection
    Song, Hong
    Mehdi, Syed Raza
    Li, Zixin
    Wang, Mengjie
    Wu, Chaopeng
    Venediktov, Vladimir Yu
    Huang, Hui
    FRONTIERS IN MARINE SCIENCE, 2023, 10
  • [30] Detection of Corn Chlorophyll Content Using Canopy Spectral Reflectance
    Sun Hong
    Li Min-zan
    Zhang Yan-e
    Zhao Yong
    Wang Hai-hua
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30 (09) : 2488 - 2492