• Saurabh Prasad
  • Lori M. Bruce
  • Jocelyn Chanussot
Part of the Augmented Vision and Reality book series (Augment Vis Real, volume 3)


As the name suggests, remote sensing entails the use of sensing instruments for acquiring information remotely about an area of interest on the ground. The term “information” can refer to a wide variety of observable quantities (signals), such as reflected solar radiation across the electromagnetic spectrum and emitted thermal radiation from the earth’s surface as measured from handheld [1], airborne [2] or spaceborne imaging sensors [3, 4]; received back-scattered microwave radiation from radio detection and ranging (RADAR), synthetic aperture radar (SAR) [5, 6, 7, 8] or light detection and ranging (LIDAR) [9, 10, 11] equipment; electrical conductivity as measured from airborne sensors, etc. Availability and effective exploitation of such data has facilitated advances in applied fields such as weather prediction, invasive species management, precision agriculture, urban planning, etc.


Synthetic Aperture Radar Hyperspectral Data Statistical Pattern Recognition Hyperspectral Imagery Invasive Species Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Saurabh Prasad
    • 1
  • Lori M. Bruce
    • 1
  • Jocelyn Chanussot
    • 2
  1. 1.Mississippi State UniversityStarkvilleUSA
  2. 2.Grenoble Institute of TechnologyGrenobleFrance

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