GEOG 416 002: Satellite Image Analysis

Spring Semester 2008

Robinson Hall, B106

4:30-7:10pm, Wednesday

Instructor:

Dr. Wenli Yang
Email: wyang1@gmu.edu

Phone: 301-614-5312, 301-220-0370, 703-993-9236

327 Research I

Office Hours: 2:00-4:00pm, Wednesday, or by appointment

Course description:

This is an introductory digital image processing course emphasizing on Earth resources analysis. Students will be introduced to various digital processing techniques related to earth observing remote sensing imagery. Topics of the course will include remote sensing data collection systems, image quality assessment, radiometric and geometric corrections, image enhancement, transformation, classification, and change detection.

Text book:

Introductory Digital Image Processing: a Remote Sensing Perspective, 3^rd edition

By John R. Jensen, Pearson Prentice Hall, 2005

Prerequisites:

GEOG 412 and college algebra and statistics; or permission of instructor.

Class schedule:

Jan. 23

Course description

Introduction to electromagnetic radiation (Chapter 6, pp175-194)

Introduction to Remote Sensing (Chapter 1)

Jan. 30

Introduction to Remote Sensing (cont. Chapter 1)

Remote sensing data collection (Chapter 2)

Feb. 6

Remote sensing data collection (cont. Chapter 2)

Digital Image Processing Functions and Software (Chapter 3)

Exercise #1 handed out.

Feb. 13

Image statistics (Chapter 4)

Display and Visualization (Chapter 5)

Feb. 20

Radiometric correction (Chapter 6, pp.194-222)

Geometric correction (Chapter 7)

Exercise #1 due. Exercise #2 handed out.

Feb. 27

Geometric correction (cont. Chapter 7)

Image enhancement (Chapter 8)

Mar. 5

Image enhancement (cont. Chapter 8)

Exercise #2 due. Exercise #3 handed out.

Mar. 12 Spring break

Mar. 19

Image classification (Chapter 9)

Midterm Examination (the last 90 minutes of the class, 5:40-7:10pm)

Mar. 26 Image classification (cont. Chapter 9)

Apr. 2 Image classification (cont. Chapter 9)

Exercise #3 due. Exercise #4 handed out.

Apr. 9 Artificial intelligence (Chapter 10)

Apr. 16 Change detection (Chapter 12)

Exercise #4 due. Exercise #5 handed out.

Apr. 23

Thematic map accuracy assessment (Chapter 13).

Hyperspectral image analysis (Chapter 11)

Apr. 30 Hyperspectral image analysis (cont. Chapter 11)

Exercise #5 due.

May 7 Final Examination 4:30-7:15pm

May 12 Grades reported to the registrar office

Exercises:

All exercises will involve the use of the Erdas/Imagine software available in the GIS/remote sensing lab of the Geography department (http://geoglab.gmu.edu). Each exercise must include a brief report which describes goal, methods, results, discussion, and summary/conclusions. Each report should be at least one single space page long (12-point font, 1-inch margins), plus necessary graphics/maps/tables. Exercises are due at the class beginning time of the due dates listed in the class schedule.

#1: basic image manipulations using Erdas/Imagine

#2: radiometric and geometric correction

#3: image enhancement

#4: image classification

#5: change detection

Grading policy:

Exercises: 50 points (10 pts each)

Midterm exam: 20 points

Final exam: 30 points

A+: 97-100

A: 93-96

A-: 89-92

B+: 85-88

B: 81-84

B-: 77-80

C+: 73-76

C: 69-72

C-: 65-68

D: 60-64

F: 0-59