Course Webpage: http://web.pdx.edu/~jduh/courses/geog481w06/index.htm
(Or go to http://web.pdx.edu/~jduh/ and select “Courses-> GEOG 4/581(W06)”)
Lectures/Lab: Tuesday and Thursday 16:00-17:50 in CH 418 (Tue) and CH469 (Thu). Thursdays are scheduled for labs.
Instructor: Geoffrey Duh (Email: jduh@pdx.edu)
Office: CH 424J Phone:
503-725-3159 Office
hours: Mon 1-3; Wed 1-2
Pre-course survey: Go to the website below and follow the instructions to complete the questions by Jan 12, 6pm. http://survey.oit.pdx.edu/ss/wsb.dll/jduh/sdia1.htm
Course Objectives
This course teaches the theory and methods of digital image
processing. We will explore the principles of image statistics extraction,
radiometric and geometric correction, image enhancement, thematic
classification, change detection, and integration of satellite imagery and
geographic information systems databases. 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, RadarSat,
IRS, IKONOS, and
AVHRR.
The text for this course is Introduction to Remote Sesning, 3rd Edition by James
Campbell (CRC Press. ISBN:
0415282942, released on May 9, 2002). 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% |
|
Journal Article
Review |
NA |
10% |
|
Final |
20% |
15% |
Attendance to this course is mandatory. If you miss more than two 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%) (Click here for quiz questions 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 twice during the term for which they will receive a grade for class participation. The quiz questions for the week must be different from the questions listed in the text. Students who are responsible for the week’s quiz questions must emailed the questions and their answers to the instructor every Monday by 5pm. These questions will be posted on the course webpage Tuesday before noon and might be used in class as quizzes. It is important that everyone in the class take part in class discussions. Therefore, class attendance and participation are mandatory. If you miss 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.
Journal Article Report (10% graduate
students only) (Click here for discussion schedule)
All graduate students are required to work
in small groups (2 students per group) and select one article to read, review,
and report to the class. You may select an article related to the topics listed
below, or choose your own topic - but it must be approved by the instructor.
Please follow this link
for the instructions of searching journal articles. The title and a copy
(hardcopy or softcopy) of the select article must be submitted to the instructor
two weeks before the scheduled discussion date. The report should take the form
of a written summary and critique of the article (2 page max.) and five
discussion questions and answers. All students (including undergraduates) are
required to read the articles assigned by other students. The report must be
electronically submitted to the instructor one day before the scheduled
discussion day. The discussion of journal articles will start in the 7th
week (Feb 21). The discussion will be lead by graduate students.
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 10/12 |
· Course Overview · Introduction to Digital Image Processing & Image Interpretation (Ch5: 122-156) (Slides) |
Lab 1: Image Display & Color Theory (Due by 4pm Jan 26) |
|
2 Jan 17/19 |
· Electromagnetic Radiation (Ch2: 25-50) |
(Lab 1) |
|
3 Jan 24/26 |
· Image Resolution (Ch9: 272-288) · Satellite Imaging Systems (Ch6: 157-203) (Questions, Slides) Satellite Imagery
Worldwide
Satellite Imagery
Resolution & Swath
|
Lab 2: Download LandSat Image and Make Maps From Satellite Imagery (Due by 4pm Feb 2) |
|
4 Jan 31/ Feb 2 |
· Preprocessing I (Ch10: 291-313) · Image Rectification (Field Guide: 339-369) (Questions, Slides) |
Lab 3: Polynomial Rectification (Due by 4pm Feb 9) |
|
5 Feb 7/9 |
· Preprocessing II (Ch10: 313-318) · Image Enhancement (Field Guide: 141-183) (Questions, Slides) |
Lab 4: Enhancing imagery (Due by 4pm Feb 16) |
|
6 Feb 14/16 |
· Image
Classification I (Ch11: 319-348) (Questions, Slides) ·
Midterm
exam |
Lab 5: Classification (Due by 4pm Mar 2) |
|
7 Feb 21/23 |
· Image Classification II (Ch11: 348-360, Field Guide: 237-253) (Questions, Slides) |
(Lab 5) |
|
8 Feb 28/ Mar 2 |
· Accuracy Assessment (Ch12: 361-382, Ch13: 383-406) (Questions, Slides) |
Lab 6: Advanced Classification and Accuracy Assessment (Due by 4pm Mar 16) |
|
9 Mar 7/9 |
· Hyperspectral Remote Sensing (Ch14: 407-417) · Applications in Plant Sciences (Ch16: 450-485) (Questions, Slides) |
(Lab 6) |
|
10 Mar 14/16 |
· Active Microwave &
Lidar (Ch7: 204-243) (Questions, Slides) · Applications in LULC (Ch19: 554-586) |
Journal Articles Review & Course Summary |
|
Mar 21 |
· Final exam (15:30-17:20 CH 418) |
|