EC878 Remote Sensing Data Analysis

Course Name: 

EC878 Remote Sensing Data Analysis

Programme: 

M.Tech(SPML)

Category: 

Elective (Ele)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Introduction, Nature and Properties of Electromagnetic Waves, Interactions of electromagnetic radiation with matter, Surfaces Sensing in the Visible, Near Infrared and thermal infrared, microwave and radio frequencies. Millimeter and Submillimeter Sensing, ocean and Atmospheric Remote Sensing, Ionospheric Sensing, Imaging, Platforms used for RS data acquisition and characteristics, Hyperspectral Remote Sensing, Information Extraction from the Image Data, Radar, Lidar, Common remote sensing datasets and data portals, mathematical techniques and algorithms for processing the RS data, acquisition and analysis, estimation, detection, recognition, classification techniques, Applications of RS for land use and land cover monitoring, water resources management, agricultural, environmental, forestry, geology applications, etc.

References: 

W.G. Rees, Physical Principles of Remote Sensing, Cambridge University Press, 2012.
Charles Elachi Jakob vanZyl, Introduction to the Physics and Techniques of Remote sensing, 2nd Ed, John Wiley & Sons, Inc, 2006.
Chipman Lillesand Kiefer, Remote Sensing and Image Interoretation, 6th Ed, Wiley, 2008.
J. Richards, Remote Sensing with Imaging Radar, Springer 2020.
Pimliang Dong and Qi Chen, LiDAR Remote Sensing and Applications, CRC Press, 2017.
Marcus Borengasser, William S. Humgate, Russell Watkins: Hyperspectral Remote Sensing Principles and Applications, 1 Ed, CRC Press, 2007.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Prof. Ramesh Kini M.
Professor and Head,
Department of ECE, NITK, Surathkal,
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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