Semester Offering: InterSem
The course aims at providing RS/GIS image analysis tool through pre and post processing on satellite images. There will be special emphasis on images registration, extraction, classification and accuracy assessment. Students will be trained to develop a case study project at last.


Image Registration, Image Classification, Image Understanding, Accuracy Assessment and Cartographic Design.


AT7609 (Digital Image Processing in Remote Sensing) or permission from instructor


    I. Introduction
    1. ERDAS and its component
    2. IMAGINE capability
    3. IMAGINE Quick Look

    II. Image Preparation
    1. Data Type
    2. Image Enhancement
    3. Image Rectification

    III. Image Processing
    1. Single Orthorectification
    2. Mosaic
    3. Subset

    IV. Image Processing
    1. Unsupervised Classification
    2. Supervised Classification
    3. Post Classification
V. Accuracy Assessment
  1. Statistical Consideration

VI. 3D Surface Model
  1. Virtual GIS
  2. Scene Component
  3. Raster TIN into ERDAS

VII. Project
  1. Case study presentation


Lecture Notes


P.A. Longley, M. F. Goodchild, D. J. Maguire and D. W. Rhind:Geographical Information Systems (Vol.I and Vol.II), John Wiley & Sons, Inc., 1999.

S. Morain and S. L. Baaros:Raster Imagery in Geographical Information Systems, ONWORD Press, 1996

Cliff Greve: Digital Photogrammetry: An Addendum to the Manual of Photogrammetry, American Society for Photogrammetry and Remote Sensing, 1996.

R. W. Anson:Basic Cartography, Elsevier Applied Science Publishers, 1984.

GIS World
International Journal of GIS (IGU)
Photogrammetric Engineering and Remote Sensing (ASPRS)
International Journal of ISPRS (ISPRS)
The Journal of Survey (JAS)


The final grade will be computed according to the following weight distribution:

  • Lab assignment 60%;
  • Case study project 40%.