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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 |
||
Sept 17 |
Tu |
- Atmospheric correction Absolute atmospheric correction using
empirical line calibration - 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 |
|