Remote sensing Extraction model of redtide biomass by airborne hyperspectral technique

被引：0
|
作者：
MA Yi~ 1
机构：
来源：
Optoelectronics Letters | 2006年 / 01期
关键词：
Remote sensing Extraction model of redtide biomass by airborne hyperspectral technique;
D O I：
暂无
中图分类号：
TP79 [遥感技术的应用];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Our work is based on the known research results of inherent optical quality of ocean color constituents.According to optimized parameters and induced fluorescence term of chlorophyll, this paper puts forward a remote sensing reflectance model of sea water, which is fitted in Liaodong Bay of Bohai. An inverse model that can evaluate redtide biomass according to chlorophyll retrieval is provided by inducing a functional extreme problem. The calculation example of the model indicates that the inversion model has explicit mathematic and physical meaning, but its practicability needs to be verified.
引用
收藏
页码：58 / 62
页数：5
相关论文
共 50 条
  • [41] Model for the interpretation of hyperspectral remote-sensing reflectance
    Lee, Zhongping
    Carder, Kendall L.
    Hawes, Steve K.
    Steward, Robert G.
    Peacock, Thomas G.
    Davis, Curtiss O.
    [J]. Applied Optics, 1994, 33 (24): : 5721 - 5732
  • [42] Parallel Implementation of an Inversion Model for Hyperspectral Remote Sensing
    Gerardino, Carolina
    Rivera, Yamil
    Goodman, James
    Rivera, Wilson
    [J]. IEEE MWSCAS'06: PROCEEDINGS OF THE 2006 49TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, 2006, : 606 - +
  • [43] Water quality model using hyperspectral remote sensing
    Lopes, Fernando B.
    Barbosa, Claudio C. F.
    Novo, Evlyn M. L. de M.
    de Andrade, Eunice M.
    Chaves, Luiz C. G.
    [J]. REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL, 2014, 18 : S13 - S19
  • [44] MODEL FOR THE INTERPRETATION OF HYPERSPECTRAL REMOTE-SENSING REFLECTANCE
    LEE, ZP
    CARDER, KL
    HAWES, SK
    STEWARD, RG
    PEACOCK, TG
    DAVIS, CO
    [J]. APPLIED OPTICS, 1994, 33 (24) : 5721 - 5732
  • [45] Casi/sasi airborne hyperspectral remote sensing anomaly extraction of metallogenic prediction research in gansu beishan south beach area
    Che, Yongfei
    Zhao, Yingjun
    [J]. MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V, 2014, 9263
  • [46] Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery
    Tang, Fei
    Xu, Hanqiu
    [J]. REMOTE SENSING, 2017, 9 (06):
  • [47] A CBIR System for Hyperspectral Remote Sensing Images Using Endmember Extraction
    Zhang, Jing
    Zhou, Qianlan
    Zhuo, Li
    Geng, Wenhao
    Wang, Suyu
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 31 (04)
  • [48] Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Image Feature Extraction
    Li, Hongda
    Cui, Jian
    Zhang, Xinle
    Han, Yongqi
    Cao, Liying
    [J]. REMOTE SENSING, 2022, 14 (18)
  • [49] Extraction of Diseases and Insect Pests for Tobacco Based on Hyperspectral Remote Sensing
    Wang, Mei
    Li, Xin-ju
    Yao, Qian-qian
    Liu, Yi
    [J]. GEODETSKI LIST, 2012, 66 (03) : 209 - 216
  • [50] Hyperspectral remote sensing for extraction of soil salinization in the northern region of Ningxia
    Abd El-Hamid, Hazem T.
    Hong, Guan
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (04) : 2487 - 2493
12345