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GEO-SCI594Q Advanced Remote Sensing

3 cr, Fall 2012

Course Location:      Morrill IV South 271

Lecture Time:            TuTh 2:30 - 3:45pm

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:

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 5

Topic: (tentative)

Week

Day

Topic

Reading&Assignment

Sept 3

 

 

Tu

Lecture 1 Concepts in remote sensing - platform, sensors , Characteristics of digital Image data- resolutions, processing flow, Remote sensing systems

Jensen's ch1. ch2

Th

Lab 1 Spectroradiometer

Lecture 2 Image statistics - Histogram

- Univariate descriptive image statistics

- Multivariate Image Statistics

Jensen's ch4

Sept 10

 

 

Tu

- Geostatistical analysis

Lecture 3 Radiometric correction

- Atmospheric energy matter interactions

- Terrain energy matter interactions

Jensen's ch6

Th

- Path radiance
- Correct remote sensing system detector error

Sept 17

Tu

- Atmospheric correction 

   Absolute atmospheric correction using empirical line calibration
   Relative radiometric correction of atmospheric attenuation

- Topographic correction

Th

Lab 2 Image display, statistics and radiometric correction

 

Sept 24

 

Tu

Lab 2 continue

Th

Lecture 4 Image geometric processing

- Internal and external geometric error

- Ground Control Points

- Coordinates transform

Jensen's ch7

Oct 1

 

Tu

- Resample

- Mosaicking

Th

Lab 3 Geometric correction

Oct 8

 

Tu

No class. Monday schedule

Th

Lecture 5 Image display and enhancement

-Radiometric enhancement, Histogram based operations

Jensen's ch5 p157-172

ch8

 

Oct 15

 

Tu

-Spatial , image filtering

-Multispectral enhancement: IHS transform, principal component analysis

Th

-Vegetation indices, K-T transform

Oct 22

 

Tu

Lab 4 Image enhancement

Th

Lecture 6 Information extraction/classification

Training and testing sample selection,

Supervised and unsupervised classification techniques. 

Jensen's ch9 & 11

Oct 29

Tu

Lecture 6 Continue

Th

Lecture 6 Continue - accuracy assessment

Nov 5

 

Tu

Lab 5 Image classification

Th

class cancelled due to air quality emergency

 

Nov 12

 

Tu

Lab 5 continue

Th

Lab 5 object-based classification

 

Nov 19

Tu

Special topic: Change detection

Jensen's ch 12

Th

No class, Holiday

 

Nov 26

Tu

Special topic: Hyperspectral Remote Sensing

 

Th

Final project

 

Dec 3

 

Tu

Final project

 

Th

Final presentation

 

Dec 16

 

Project report due