The course aims to equip students with overview of digital image processing including visual perception, image formation, spatial transformations, image enhancement, color image representation and processing, edge detection, image segmentation, and morphological image processing. Since 1964 the advent of large-scale digital computers and the space program have made digital image processing one of the most rapidly growing fields in electrical engineering. Now image processing has found much more wide applications not only in the space program, but also in the areas such as medicine, biology, industrial automation, astronomy, law enforcement, defense, intelligence. With the progress made in multimedia these days, digital image processing finds more wide applications. It has become an indispensable part of our digital age.

Contents

  1. Multispectral, Thermal and Heperspectral Scanning
  1. Introduction
  2. Multispectral Scanning
  3. Thermal Scanning
  4. Thermal Radiation Principles
  5. Interpreting Thermal Scanning Imagery
  6. Imaging Spectrometry
  1. Satellite Systems
  1. Introduction
  2. Geostationary Weather Satellites
  3. Polar Orbiting Weather Satellites
  4. Heat Capacity Mapping Missin
  5. Landsat
  6. SPOT
  7. Seasat
  8. NASA Space Shuttle
  1. Digital Image Processing and Image Enhancement
  1. Introduction
  2. Image Rectification and Restoration
  3. Image Enhancement
  4. Contrast Manipulation
  5. Spatial Feature Manipulation
  6. Multi-Image Manipulation
  7. Image Classification: Supervised and Unsupervised Classification
  8. Classification Accuracy Assessment
  9. Data Merging and GIS Integration

x.Geometric Image Correction

xi. Spectral Image Enhancement

xii.Spatial Image Enhancement - Operations in Spatial Domain

xiii.Spatial Image Enhancement - Operations in Frequency Domain

xiv.Image Classification – Supervised and Unsupervised Classification

xv.Image Classification - Object Oriented Classification

4.Microwave Sensing

  1. Introduction
  2. SLAR System
  3. Geometric Characteristics of SLAR Imagery
  4. Interpretation of SLAR Imagery
  5. ERS (Experimental Radar Remote Sensing From Space
  6. Radarsat
  7. Spaceborne Radar System
  1. Application of Remote Sensing
  1. Land Cover Mapping
  2. Land use change monitoring
  3. Urban expansion Mapping
  4. Environmental Monitoring
  5. Cadastral Mapping

 

Recommended Books:

 

  1. Lilles T. M. & Kiefer, R. W. (1994) Remote Sensing and Image Interpretation, John Wiley & Sons New York.
  2. Campbell, J. B. &Wynne, R. H. (2011) Introduction to Remote Sensing. Fifth Edition. Guilford Press, New York.

Suggested Books:

  1. Lo, C. P. (1986): Applied Remote sensing,  Essex Longman.
  2. ITC (2004), Principles of Remote Sensing, ITC Educational Textbook Series, Enschede, The Netherlands
  3. Muralikrishna, I. V. (1992): Remote Sensing Applications and Geographic Information Systems, Tata McGraw Hill, New Delhi.

 

Week

Topics and Readings

Book & Page No.

1.

  1. Introduction
  2. Multispectral Scanning
  3. Thermal Scanning
  1. 5-10

2.

  1. Thermal Radiation Principles
  2. Interpreting Thermal Scanning Imagery
  3. Imaging Spectrometry
  1. 20-29

3.

Satellite Systems

  1. Introduction
  2. Geostationary Weather Satellites
  3. Polar Orbiting Weather Satellites
  1. 30-50

4.

  1. Heat Capacity Mapping Missin
  2. Landsat
  3. SPOT
  4. Seasat
  5. NASA Space Shuttle
  1. 41-60

5.

Practical

Image interpretation and comparison

ERDAS

6.

  1. Introduction
  2. Image Rectification and Restoration
  3. Image Enhancement
  1. 60-65

7.

  1. Contrast Manipulation
  2. Spatial Feature Manipulation
  3. Multi-Image Manipulation
  1. 28-39

8.

  1. Image Classification: Supervised and Unsupervised Classification
  2. Classification Accuracy Assessment
  3. Data Merging and GIS Integration
  1. 75-80

 

Mid Term

 

9.

Microwave Sensing

  1. Introduction
  2. SLAR System
  3. Geometric Characteristics of SLAR Imagery
  1. 71-79

10.

  1. Interpretation of SLAR Imagery
  2. ERS (Experimental Radar Remote Sensing From Space
  3. Radrsat
  4. Spaceborne Radar System

      (3) 75-86

11.

  1. Land Cover Mapping
  2. Land use change monitoring

(2, 3) 78-90

12.

  1. Urban expansion Mapping
  2. Environmental Monitoring

(2, 3) 90-97

13.

1. various sensors data comparison,

thermal infrared image interpretation

Indices      (Lab, (ERDAS Imagine 2014))

Lab (ERDAS)

14.

introduction to ERDAS imagine, display, geo-linking, identification of targets

(Lab, (ERDAS Imagine 2014))

Lab (ERDAS)

15.

Cadastral Mapping

Lab (ERDAS)

16.

Presentation

 

 

Final Term

 

 

Course Material