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    IGARSS
    2009
    175views Remote Sensing» more  IGARSS 2009»
    Improving NDVI Time Series Class Separation using an Extended Kalman Filter
    13 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
    13 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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    IGARSS
    2010
    172views Remote Sensing» more  IGARSS 2010»
    High-rate local sea level monitoring with a GNSS-based tide gauge
    13 years 7 months ago
    High-rate local sea level monitoring with a GNSS-based tide gauge
    Download  publications.lib.chalmers.se
    We present first results from the analysis of high-rate observations with a GNSS-based tide gauge at the Onsala Space Observatory. The goal is to determine local sea level with hi...
    Johan S. Löfgren, Rudiger Haas, Jan M. Johans...
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    IGARSS
    2010
    175views Remote Sensing» more  IGARSS 2010»
    Lidar education at Georgia Tech
    13 years 7 months ago
    Lidar education at Georgia Tech
    Download  www.gi.alaska.edu
    The Georgia Tech Research Institute teamed with a local undergraduate women's institution, Agnes Scott College, to develop an eyesafe lidar for atmospheric remote sensing as ...
    Gary Gimmestad, Leanne West
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    IGARSS
    2010
    166views Remote Sensing» more  IGARSS 2010»
    Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation
    13 years 7 months ago
    Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation
    Download  www.umbc.edu
    In this paper, we investigate the use of the watershed transformation for integrating spatial and spectral information in the process of endmember extraction for spectral unmixing...
    Maciel Zortea, Antonio J. Plaza
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