GEOG 482/582: Satellite Image Classification and Change Detection

Spring 2005 Class Sections meet:

T TH 14:00-15:50 Cramer Hall 469 (Tuesdays) and 418 (Thursdays)
Course webpage: http://web.pdx.edu/~jduh/courses/geog482s05

Instructor: Geoffrey Duh (email: jduh@pdx.edu)
Office: Cramer Hall 424J Phone: (503)725-3159
Office hours: M 1-3, W 1-2, or by appointment

Course Objectives

This course focuses on various satellite image classification methods that can be used for thematic information extraction as well as digital change detection methods for measuring land use/ land cover change. The course includes computer exercises in advanced classification methods (e.g., Fuzzy and decision tree classification), radiometric normalization, and change detection using leading satellite image processing software packages including Erdas Imagine and IDRISI Kilimanjaro.

Readings

The course readings are a series of journal papers that will be chosen by the students and distributed by the instructor as well as digital documents. The digital documents are listed here.

NASA Online Tutorial

BSRSI Remote Sensing Tutorial

BSRSI Radar Tutorial

Arizona Image Processing Tutorials

A list of remote sensing journals

The course will be taught in a seminar format, which means that students are not passive members of the class. Each student is expected to actively contribute to each class period. To facilitate an interactive discussion each student will be a discussion leader twice during the semester for which they will receive a grade. The discussion leader must do three things. First, s/he must thoroughly read the assigned readings and write a 1-2 page critique/ synopsis. The synopsis part should highlight the main points of the readings and the critique part should identify strengths and weaknesses of the readings. Second, this person should develop at least 6 discussion questions which should be typed with answers and given to the instructor before the beginning of class. Third, this person is responsible for leading the classroom discussion along with the instructor. It is important that everyone in the class take part in these discussions. Therefore, class attendance and participation are mandatory. See the grading section below for penalties for those who do not attend class or do not participate.

Labs/Project/ Portfolio

You will conduct labs that will help you learn the methods necessary to do a project. The practical exercises provide a way to acquire skills using Erdas Imagine and to apply the course concepts to real data. The lab manual and Erdas Field Guide are available in Acrobat format. These books are necessary to complete the labs. A satellite remote sensing project is required for all students. It should be on either classification or change detection and you should use real data for the project. The PSU Geography Department has a collection of imagery that you can use for the project ( PSU Satellite Data ). The project is intended to provide a deeper understanding of image classification and/or change detection through experience. The project should investigate a particular research problem using the image processing packages that we use in class. The deliverable for the project is a printed Powerpoint presentation that you will present to the class. You will also present the project during a scheduled time. You should use the knowledge and skills you acquired in the class discussion, books, and practical component of the course. Every project must include the following sections: an Introduction, Data, Methods, Results, and Conclusions. At the end of the course each student must hand in a portfolio of all of their completed lab work and the project presentation. At approximately midterm, each student should submit an outline of their portfolio which should include a description of the labs that will be completed and a short outline of their project.

Grading

Portfolio/ Project 50%
Discussion/ Article Critique- Synopsis 50%

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 and if you are not in class then you cannot. If you are repeatedly late you will be given an absence.

Course Schedule

To be finalized after students submit the lists of journal papers they choose.

Week

Tuesday (Lab/Project)

Thursday (Topic/Readings)

Mar 29/31

· Course Overview

· Syllabus

· Lab 1. Journal articles search

· Basic exercises for people with no Erdas Imagine experience
Image Display
Making Maps from Satellite Imagery
Classification
Enhancing Imagery
Georeferencing
Advanced Classification and Accuracy Assessment