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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) |
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Week |
Day |
Topic |
Reading&Assignment |
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Sept 7
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Tu |
Lecture 1 Concepts in remote sensing - platform, sensors |
Jensen's ch1-2 |
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Th |
Lecture 1 continue... |
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Sept 14
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Tu |
Characteristics of digital Image data- resolutions, processing flow, Remote sensing systems Lab 1 Spectroradiometer |
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Th |
Lecture 1 continue... |
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Sept 21 |
Tu |
Lecture 1 continue... |
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Th |
Lecture 2 Image statistics - Histogram - Univariate descriptive image statistics - Multivariate Image Statistics - Geostatistical analysis |
Jensen's ch4
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Sept 28
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Tu |
Lab 2 Image display and statistics |
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Th |
Lecture 3 Radiometric correction Atmospheric energy matter interactions Terrain energy matter interactions |
Jensen's ch6 | |
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Oct 5
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Tu |
Path
radiance |
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Th |
Atmospheric correction |
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Oct 12
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Tu |
No class. Monday schedule |
Jensen's ch7
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Th |
Lab 3 Radiometric correction | ||
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Oct 19
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Tu |
Lecture 4 Image geometric processing Internal and external geometric error Ground Control Points Coordinates transform Resample Mosaicking |
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Th |
Lecture 4 , cont. |
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Oct 26
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Tu |
Lab 4 Geometric correction |
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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
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Nov 2 |
Tu |
-Vegetation indices, K-T transform |
(Bannari,1995) |
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Th |
Lecture 5, cont. |
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Nov 9
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Tu |
Lecture 5, cont. |
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Th |
Lab 5 Image enhancement |
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Nov 16
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Tu |
Lecture 6 Classification Supervised and unsupervised classification techniques. Training and testing sample selection, accuracy assessment methods. |
Jensen's ch9 & 11 |
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Th |
Lecture 6, cont. |
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Nov 23 |
Tu |
Lab 6 Image classification |
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Th |
No class, Holiday |
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Nov 30 |
Tu |
Final project |
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Th |
Final project |
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Dec 7
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Tu |
Final project |
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Th |
Final presentation |
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Dec 21 |
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Project report due |
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