JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

REMOTE SENSING

M.Tech I Year II Semester (R19)

Course Outcomes

At the end of this course, students shall be able to

  • Understand basic concepts, principles and applications of remote sensing, particularly the geometric and radiometric principles;
  • Provide examples of applications of principles to a variety of topics in remote sensing, particularly related to data collection, radiation, resolution, and sampling.

UNIT - I

Physics Of Remote Sensing: Electro Magnetic Spectrum, Physics of Remote Sensing-Effects of Atmosphere-Scattering–Different types–Absorption-Atmospheric window-Energy interaction with surface features –Spectral reflectance of vegetation, soil and water atmospheric influence on spectral response patterns-multi concept in Remote sensing.

UNIT - II

Data Acquisition: Types of Platforms–different types of aircrafts-Manned and Unmanned space crafts–sun synchronous and geo synchronous satellites –Types and characteristics of different platforms –LANDSAT, SPOT, IRS, INSAT, IKONOS, QUICKBIRD etc.

UNIT - III

Photographic products, B/W, color, color IR film and their characteristics –resolving power of lens and film - Optomechanical electro optical sensors –across track and along track scanners multispectral scanners and thermal scanners–geometric characteristics of scanner imagery calibration of thermal scanners.

UNIT - IV

Scattering System: Microwave scatterometry, types of RADAR –SLAR –resolution –range and azimuth –real aperture and synthetic aperture RADAR. Characteristics of Microwave images topographic effect-different types of Remote Sensing platforms –airborne and space borne sensors - ERS, JERS, RADARSAT, RISAT -Scatterometer, Altimeter-LiDAR remote sensing, principles, applications.

UNIT - V

Thermal And Hyper Spectral Remote Sensing: Sensors characteristics-principle of spectroscopy imaging spectroscopy–field conditions, compound spectral curve, Spectral library, radiative models, processing procedures, derivative spectrometry, thermal remote sensing –thermal sensors, principles, thermal data processing, applications. Unit 6 Data Analysis: Resolution–Spatial, Spectral, Radiometric and temporal resolution-signal to noise ratio-data products and their characteristics-visual and digital interpretation–Basic principles of data processing –Radiometric correction–Image enhancement– Image classification–Principles of LiDAR, Aerial Laser Terrain Mapping.

REFERENCES:

  • 1. Lillesand. T.M. and Kiefer. R.W, “Remote Sensing and Image interpretation”, 6thEdition, John Wiley & Sons, 2000.
  • 2. John R. Jensen, “Introductory Digital Image Processing: A Remote Sensing Perspective”, 2nd Edition, Prentice Hall,1995. R19 M.TECH. MICROWAVE AND RADAR ENGINEERING
  • 3. Richards, John A., Jia, Xiuping, “Remote Sensing Digital Image Analysis”,5th Edition, Springer-Verlag Berlin Heidelberg, 2013.
  • 4. Paul Curran P.J. Principles of Remote Sensing, 1st Edition, Longman Publishing Group, 1984.
  • 5. Charles Elachi, Jakob J. van Zyl, “Introduction to The Physics and Techniques of Remote Sensing”, 2nd Edition, Wiley Serie, 2006. R19 M.TECH. MICROWAVE AND RADAR ENGINEERING M.TECH.- I YEAR- II SEMESTER MICROWAVE AND RADAR ENGINEERING MICROWAVE ANTENNA DESIGN LAB (Lab – III) SECTION –A Design and testing of microwave Antennas operations:
  • 1. Pyramidal Horn- Antenna
  • 2. Conical Horn –Antenna
  • 3. Rectangular Microstrip patch Antenna
  • 4. Circular Microstrip patch Antenna
  • 5. Microstrip Monopole Antenna. SECTION –B Software Simulation (using HFSS/IE3D/FEKO or Equivalent) and Testing of:
  • 1. Rectangular Microstrip Antenna, Circular Microstrip antenna.
  • 2. Micro strip Monopole
  • 3. Microstrip Tee
  • 4. Cylindrical Horn antenna, Pyramidal Horn antenna
  • 5. Microstrip Filters
  • 6. Microstrip power Dividers, Passive Components
  • 7. Radar Signals R19 M.TECH. MICROWAVE AND RADAR ENGINEERING M.TECH.- I YEAR- II SEMESTER MICROWAVE AND RADAR ENGINEERING

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