GEO-SCI594Q Advanced Remote Sensing

3 cr, Fall 2009

SPIRE Catalog number: 39338

 Course Location:      Morrill IV South 271

Lecture Time:            TuTh 9:30 - 10:45AM

Instructor:                 Dr. Qian Yu

Office:                         Morrill IV South 267

Office Telephone:     413-545-2095

EMAIL:                      qyu@geo.umass.edu

Office Hours:            TuTh 11:00-12:00pm or by appointment

Purpose: To introduce the principles of image analysis for interpreting remotely sensed data for environmental, resource and urban studies.  Emphasis will be given to the processing and information extraction from optical and thermal imagery.

Format: 60% lectures and class discussions, 40% seminars and class exercises.  Take home exercises and lab practice will be assigned to students to get familiar with the concepts discussed in class.

Textbook:

Available in Textbook Annex

John R. Jensen, 2004.  Introductory Digital Image Processing, 3rd Edition, Prentice Hall, New Jersey.

John A. Richards and Xiuping Jia, Remote Sensing Digital Image Analysis, Springer, 2006

Gong, Peng, Remote Sensing and Image Analysis, http://www.cnr.berkeley.edu/~gong/textbook/

Course Evaluation: Assignment 35%, Class Participation 20%, Project 45%

Lab software: ENVI 4.6

Topic: (tentative)

Week

Day

Topic

Reading&Assignment

Sept 7

 

Tu

Lecture 1 Concepts in remote sensing - platform, sensors

Jensen's ch1-2

Th

Lecture 1 continue...

Sept 14

 

 

Tu

Characteristics of digital Image data- resolutions, processing flow, Remote sensing systems

Lab 1 Spectroradiometer

 

Th

Lecture 1 continue...

 

Sept 21

Tu

Lecture 1 continue...

 

Th

Lecture 2 Image statistics - Histogram

- Univariate descriptive image statistics

- Multivariate Image Statistics

- Geostatistical analysis

Jensen's ch4

 

 

Sept 28

 

Tu

Lab 2 Image display and statistics

 

Th

Lecture 3 Radiometric correction

Atmospheric energy matter interactions

Terrain energy matter interactions

Jensen's ch6

Oct 5

 

Tu

Path radiance
Correct remote sensing system detector error

 

Th

Atmospheric correction
    -Absolute atmospheric correction using empirical line calibration
    -Relative radiometric correction of atmospheric attenuation
Topographic correction

 

Oct 12

 

Tu

No class. Monday schedule

 

Jensen's ch7

 

Th

Lab 3 Radiometric correction

Oct 19

 

Tu

Lecture 4 Image geometric processing

Internal and external geometric error

Ground Control Points

Coordinates transform

Resample

Mosaicking

Th

Lecture 4 , cont.

Oct 26

 

Tu

Lab 4 Geometric correction

 

Th

Lecture 5 Image display and enhancement

-Radiometric enhancement,Histogram based operations

-Spatial , image filtering

-Multispectral enhancement: IHS transform, principal component analysis

Jensen's ch5 p157-172

ch8

 

Nov 2

Tu

-Vegetation indices, K-T transform

(Crist, 1984)

(Bannari,1995)

Th

Lecture 5, cont.

 

Nov 9

 

Tu

Lecture 5, cont.

 

Th

Lab 5 Image enhancement

 

Nov 16

 

Tu

Lecture 6 Classification

Supervised and unsupervised classification techniques. 

Training and testing sample selection, accuracy assessment methods.

 Jensen's ch9 & 11

Th

Lecture 6, cont.

 

Nov 23

Tu

Lab 6 Image classification

 

Th

No class, Holiday

 

Nov 30

Tu

Final project

 

Th

Final project

 

Dec 7

 

Tu

Final project

 

Th

Final presentation

 

Dec 21

 

Project report due