| Spring Semester 2007 Lecture: Tuesday 2:00 - 3:30 pm Lab: Tuesday 3:30 - 4:30 pm Room: 005 Callcott |
|
|
|||
Carolina Distinguished Professor johnj@gwm.sc.edu |
327 Callcott
|
TUE 12:30 - 2:00 pm
|
7-5790
|
Teaching Assistant wangz@mailbox.sc.edu |
318 Callcott
|
WED 2:00 - 4:00 pm
|
7-3657
|
* PowerPoint lecture materials are at ftp://129.252.3.174. You need the username (rs) and password (rsclass).
Lecture materials are under Lecture folder.
** Exercise schedule may be adjusted a little and the actual datasets to be used in the labs will be linked soon.
|
|
|
Assignment |
|
|
Chapter 1: Remote Sensing and Digital Image Processing (ppt)
|
|
|
|
Chapter 2: Remote Sensing Data Collection (ppt)
|
|
|
|
Chapter 3: Digital Image Processing Hardware and Software
Considerations (ppt)
|
|
|
|
Chapter 4: Image Quality Assessment and Statistical
Evaluation (ppt) |
Chapter 4 |
|
|
Chapter 5: Initial Display Alternatives and Scientific
Visualization (ppt)
|
Chapter 5 |
|
|
Chapter 6: Electromagnetic Radiation Principles and
Radiometric Correction (ppt)
|
Chapter 6 |
|
|
|
|
|
|
Midterm Examination
|
Chapters 1~7
|
|
|
Chapter 8: Image Enhancement (ppt) |
Chapter 8
|
|
|
Chapter 8: Image Enhancement (continued)
|
Chapter 8
|
|
|
Chapter 9: Thematic Information Extraction:
Pattern Recognition (ppt)
|
Chapter 9 |
|
|
Chapter 10: Thematic Information Extraction:
Using Artificial Intelligence (ppt) |
Chapter 10 |
|
|
Chapter 12: Digital Change Detection (ppt) |
Chapter 12 |
|
|
Chapter 13: Remote Sensing-derived Thematic
Map Accuracy Assessment (ppt) |
Chapter 13 |
|
May 4 |
Friday - Final Examination at 9:00 am
This is the Registrar's scheduled time for the Geography 751 final exam. I provide no make-up examination unless there is a documented reason. See me at the beginning of the semester if you have an exam schedule conflict. |
|
Jensen, J. R., 2005, Introductory Digital Image Processing: A Remote Sensing Perspective, Upper Saddle River, NJ: Prentice Hall, 3rd Ed., 526 pages.
Jensen, J. R., 2007, Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River, NJ: Prentice Hall, 592 pages.
Every major topic will have an image interpretation and/or computation exercise associated with it. There will be a total of eleven exercises throughout the semester. These exercises need to be typed and handed in on the due date shown (in parentheses) above. Each exercise is worth 10 points. One point will be deducted for every day it is late.
A concise project is required. It is due four days prior to the Final Exam (Friday, April 28). You will take an original remote sensor dataset and apply algorithms of your choosing to it. I am especially interested in the quality and significance of the digital image processing you perform. I want to see a one (1) page creative image of your work in ERDAS Map Composition format and a maximum three (3) page paper including references describing your logic and results. Use scientific referencing in the text, such as "Jensen et al. (1995) radiometrically corrected the remote sensor data. A summary of radiometric correction methods is found in Jensen (2005)".
|
Lab Exercises
|
|
|
Midterm Examination
|
|
|
Project/Paper
|
|
|
Final Examination
|
|
|
|
|