M.Tech, Syllabus

JNTUH M.Tech 2017-2018 (R17) Detailed Syllabus Remote Sensing

Remote Sensing Detailed Syllabus for Geo-Informatics and Surveying Technology M.Tech first year first sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.

The detailed syllabus for Remote Sensing M.Tech 2017-2018 (R17) first year first sem is as follows.

M.Tech. I Year I Sem.

Course Objectives: introduction to the physics of remote sensing and its platforms, how to sensing energy interaction with earth surface features, how the data will acquire and explaining the process of acquired data.

Course Outcomes: at the end of the course the student will able to learn to Select the type of remote sensing technique / data for required purpose, Identify the earth surface features from satellite images, Analyze the energy interactions in the atmosphere and earth surface features and Perform corrections and process digital satellite data.

Unit-I: Physics of Remote Sensing: Sources of Energy, Active and Passive Radiation, Electromagnetic Radiation – Reflectance, Transmission, Absorption, Thermal Emissions, Interaction with Atmosphere, Atmospheric windows, Spectral reflectance of Earth’s surface features, Multi concept of Remote Sensing.

Unit-II: Platforms: Various types of platforms, different types of aircraft, manned and unmanned spacecrafts used for data acquisition – characteristics of different types of platforms – airborne and space borne. Data Acquisition Systems: Optical, Thermal and Microwave; Resolutions – spatial, spectral, radiometric and temporal, signal to noise ratio.

Unit-III: Image Processing: Data Products and Their Characteristics, Digital image formation, digital image display mechanism, image histograms, look up table data, Pre-processing – Atmospheric, Radiometric, Geometric Corrections – Basic Principles of Visual Interpretation, Equipment for Visual Interpretation, Ground Truth, Ground Truth Equipment.

Unit-IV: Image enhancements: Linear and non-linear Contrast enhancement techniques, density slicing, pseudo colour images, spatial enhancement techniques (convolution filtering), spectral enhancement techniques, Image algebra.

Unit-V: Applications of Remote sensing in various Engineering and Science domains such as Agriculture, Forest, Soil, Geology, LU/LC, Water Resources, Urban etc.

TEXT BOOKS:

  • James B. Campbell & Randolph H. Wynne. Introduction to Remote Sensing, The Guilford Press, 2011.
  • Lillesand T.M & Kiefer R.W., Remote Sensing and Image Interpretation, John Wiley and Sons, 2008.

REFERENCES:

  • Charles Elach & Jakob van Zyl., Introduction to the physics and techniques of Remote Sensing, John Wiley & Sons publications, 2006.
  • Christian Matzler., Thermal microwave radiation: Applications for remote sensing, The institution of Engineering and Technology, London, 2006.
  • Rees, W. G., Physical principles of Remote Sensing, Cambridge University Press, 2001Paul Curran P.J., Principles of Remote Sensing, ELBS Publications, 1985.

For all other M.Tech 1st Year 1st Sem syllabus go to JNTUH M.Tech Geo-Informatics and Surveying Technology 1st Year 1st Sem Course Structure for (R17) Batch.

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