Course Webpage: http://web.pdx.edu/~jduh/courses/geog481w07/index.htm
(Or go to http://web.pdx.edu/~jduh/ and select “Courses-> GEOG 4/581(W07)”)
Instructor: Geoffrey Duh (Email: jduh@pdx.edu)
Office: CH 424J Phone:
503-725-3159 Office
hours: Mon 1-3; Wed 1-2
Lectures/Lab: Tuesday and Thursday 16:00-17:50 in CH 413 (Tue) and CH469 (Thu).
Thursdays are scheduled for labs. Lab attendance is mandatory.
Course emailing list: geog4_581@lists.pdx.edu
Pre-course survey: Go to the website below and follow the instructions to complete the questions by Jan 12, 3pm. http://survey.oit.pdx.edu/ss/wsb.dll/jduh/sdia1.htm
Course Objectives
This course teaches the theory, applications, and methods
of digital image processing. We will explore the principles of electromagnetic
radiation, satellite remote sensing platforms and sensors, image statistics
extraction, radiometric and geometric correction, image enhancement, and thematic
classification. Computer processing of digital satellite images will be a
central part of the course. Many different satellite image data sets will be
processed using the ERDAS Imagine
image processing software package. These data sets include Landsat MSS, TM, ETM+, SPOT, and AVHRR.
The text for this course is Computer Processing of Remotely-Sensed
Images: An Introduction, 3rd
Edition (Paperback) by Paul Mather (John Wiley & Sons. ISBN:
0470849193). The book is available at the Portland State Bookstore and from Amazon.com . Two other books will be
used for both the theoretical and practical components of the course. They
are ERDAS Field Guide and ERDAS Tour Guide. The digital copies of these two documents can be found in
the I:\Students\Instructors\Geoffrey_Duh\ERDAS Imagine folder. The
hardcopies of these ERDAS manuals can be purchased from Leica
Geosystems.
|
|
Undergraduates |
Graduate Students |
|
Lab Assignments |
50% |
50% |
|
Midterm |
20% |
15% |
|
Class Participation |
10% |
10% |
|
Class Topic
Presentation |
NA |
10% |
|
Final |
20% |
15% |
Attendance to this course is mandatory. If you miss one class periods then you will be penalized five percent of your final grade per absence. PLEASE DO NOT MISS CLASS. You are expected to take part in the discussions. If you are repeatedly late you will be given an absence.
Class
Participation (10%) (Student quiz preparation schedule)
The lecture component of this course consists of discussions of the readings and therefore you should have read the material before class. Students are expected to come to class ready to be active participants in the discussion. To facilitate an interactive discussion each student will prepare a list of 5 quiz questions based on the readings assigned by the instructor once during the term for which they will receive a grade for class participation (undergraduates require to prepare the questions twice). Students who are responsible for the week’s quiz questions must emailed the questions to the course mailing list and the questions and their answers to the instructor every Monday by 5pm. It is important that everyone in the class take part in class discussions. Therefore, class attendance and participation are mandatory. If you are unable to attend class then you must hand in typed answers to all of the quiz questions for that day.
Exams (40%
undergraduate, 30% graduate)
Both mid-term and final exams will be
in-class, closed-book exams. Unscheduled in-class quizzes will be administered
without notifications. Results of these quizzes will be counted toward class
participation.
Class Topic Presentation (10% graduate
students only) (Click here for graduate student presentation
schedule)
All graduate students are required to
select a topic from a list provided by the instructor and give a 15 to 20
minutes presentation on that topic to the class. You must prepare a powerpoint
presentation, 5 discussion/quiz questions and their answers. The set of quiz
questions will be counted as the set of questions to be prepared by the
students this term. Please follow the guideline in the Class Participation
section to submit the questions. The presentation should be mainly based on the
assigned readings. I strongly encourage you to put additional relevant
materials you find on the internet or from other references that might help
students understand the topic.
You will do practical digital image analysis exercises on the computers. If you do not finish the labs during the assigned time periods the lab also has open hours. The practical exercises provide a way to acquire skills using ERDAS Imagine software packages and to apply the course concepts to satellite imageries. Lab exercises are due by 4pm on the Thursday of the beginning of the next exercise. All exercises require a significant amount of time to finish. Make sure you pace your lab exercises appropriately to prevent from turning them in late. Please refer to the course schedule for specific due dates of the exercises.
|
Week |
Tuesday |
Thursday Lab |
|
1 Jan 9/11 |
· Course Overview · Remote Sensing: Basic Principles (Ch1) (Slides) |
Lab 1: Image Display & Color Theory (Due Feb 1) |
|
2 Jan 16/18 |
· Remote Sensing Platforms and Sensors (Ch2) (Slides) (Students’ slides) |
· Digital Data (Ch3: 59-71) (Slides) (Lab 1 continued) |
|
3 Jan 23/25 |
· Pre-processing (Ch4) (Slides) |
Lab 2: Download LandSat Image and Make Maps From Satellite Imagery (Due Feb 1) |
|
4 Jan 30/ Feb 1 |
· Image Enhancement (Ch5) (Slides) · Image Rectification (Field Guide: 375-409) |
Lab 3: Polynomial Rectification (Due Feb 8) |
|
5 Feb 6/8 |
· Image Transforms I (Ch6: 136-162) (Slides) |
Lab 4: Enhancing Imagery (Due Feb 15) |
|
6 Feb 13/15 |
·
Image Transforms II (Ch6: 162-179) (See week 5
slides) ·
PCA ·
Midterm exam |
Lab 5: Data fusion: multi-sensor sharpening (Due Feb 22) |
|
7 Feb 20/22 |
· Image Filtering (Ch7) (Slides) |
Lab 6: Classification (Due Mar 8) |
|
8 Feb 27/ Mar 1 |
· Image Classification I (Ch8: 203-227 & Field Guide: 261-269) (Slides) |
(Lab 6 continued) |
|
9 Mar 6/8 |
· Image Classification II (Ch8: 227-245) (Slides) |
Lab 7: Advanced Classification and Accuracy Assessment (Due by 5pm Mar 16) |
|
10 Mar 13/15 |
· Accuracy Assessment (Ch8: 245-249) (Slides) · Lidar (Ch9: 281-287) (Slides) |
· Course summary (Lab 7 continued) |
|
Mar 20 |
· Final exam (15:30-17:20 CH 413) |
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