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    IGARSS
    2009
    152views Remote Sensing» more  IGARSS 2009»
    On the Ability of the ERS Scatterometer to Detect Vegetation Properties
    14 years 7 months ago
    On the Ability of the ERS Scatterometer to Detect Vegetation Properties
    Download  publik.tuwien.ac.at
    The ability of the active microwave remote sensing to complement existing optical vegetation indices has been explored by variety of studies [1-4]. To demonstrate these complement...
    Marcela Doubkova, Vahid Naeimi, Wolfgang Wagner, G...
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    IGARSS
    2009
    175views Remote Sensing» more  IGARSS 2009»
    Improving NDVI Time Series Class Separation using an Extended Kalman Filter
    14 years 7 months ago
    Improving NDVI Time Series Class Separation using an Extended Kalman Filter
    Download  researchspace.csir.co.za
    It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...
    Waldo Kleynhans, J. Corne Olivier, Brian P. Salmon...
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    IGARSS
    2009
    171views Remote Sensing» more  IGARSS 2009»
    Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
    14 years 7 months ago
    Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
    Download  ideal.ece.utexas.edu
    Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
    Alexander Liu, Goo Jun, Joydeep Ghosh
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    IJKESDP
    2010
    94views more  IJKESDP 2010»
    Neuro-fuzzy-combiner: an effective multiple classifier system
    14 years 4 months ago
    Neuro-fuzzy-combiner: an effective multiple classifier system
    Download  www.isical.ac.in
    : A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
    Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
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    MCFNS
    2010
    168views more  MCFNS 2010»
    Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
    14 years 4 months ago
    Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
    Download  www.faculty.sfasu.edu
    Recent advances in LiDAR (Light Detection and Ranging) technology have allowed for the remote sensing of important forest characteristics to be more reliable and commercially avail...
    John Chapman, I.-Kuai Hung, Jeff Tippen
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