LAITS' Teaching

SCS 759-005 Digital Processing of Remote Sensing Imagery

Instructor: Wenli Yang
Laboratory for Advanced Information Technologies and Standards (LAITS)
George Mason University
9801 Greenbelt Road, Suite 316-317
Lanham, MD 20706
Tel: 301-552-9360, E-mail:yang@rattler.gsfc.nasa.gov

Course Overview:
This is an intermediate to advanced remote sensing course emphasizing on digital processing of remote sensing imagery. Students will be introduced to topics including image acquisition platforms and instruments, image processing software/hardware systems, image enhancement, image transformation, radiometric and geometric corrections, image classfication, and change detection.


Course Time:

Jan. 28
Feb. 04
Feb. 11
Feb. 18
Feb. 25
Mar. 04
Mar. 11
Mar. 18
Mar. 25
Apr. 01
Apr. 08
Apr. 15
Apr. 22
Apr. 29
May 06
  Introduction; remote sensing data acquisition systems
Foundation of image statistics
Radiometric correction
Geometric correction
Image transformation: Fourier Transformation
Image transformation: Other Transformations
Spring break
Image enhancement: Contrast adjustment, filtering
Image classification
Image classification, accuracy assessment
Image information extraction: vegetation indices
Time-series analysis; texture analysis
Introduction to GIS
Student presentation; review
Change detection; Final exam (1.5hr)


Assignments:

Four homework assignments will be handed out on Feb. 25, Mar. 18, Apr. 1, and Apr. 15, and homework assignments are due in two weeks after handed out.


Copyright Laboratory for Advanced Information Technology and Standards, 2002-2005
George Mason University, 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770 USA