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10423 (v.3) Digital Remote Sensing 281


 

Area:

Department of Spatial Sciences

Credits:

25.0

Contact Hours:

5.0

Lecture:

1 x 2 Hours Weekly

Tutorial:

1 x 1 Hours Weekly

Laboratory:

1 x 2 Hours Weekly

Prerequisite(s):

4579 (v.2) Mathematics 181
OR
12165 (v.2) Mathematics 133

Syllabus:

Upon completion of this unit students will have - Gained an overall understanding of the use of digital remote sensing for mapping the earth's surface, developed an understanding of the physics of of data acquisition and the steps necessary to extract information from that data and gained experience in using industry standard image processing software.

Syllabus:

No prescribed references.

Syllabus:

Mather P.M., (2002), Computer Processing of Remotely Sensed Images, 2nd ed, John Wiley and Sons.

Syllabus:

Exam 45%, Lab Reports 20%, Mid Semester Test 35%. This is a grade/mark assessment.

Syllabus:

Scope of remote sensing. Physical base of remote sensing. Satellite and airborne sensor systems. Image statistics, display, preprocessing. Rectification of digital Landsat imagery. Image enhancement, spectral and spatial filtering. Thematic information extraction, classification and acuracy assessment, change detection. Hyperspectral and radar sensors. Selecting a remote sensing system for application.
 

Unit Outcomes:

Upon completion of this unit students will have - Gained an overall understanding of the use of digital remote sensing for mapping the earth's surface, developed an understanding of the physics of of data acquisition and the steps necessary to extract information from that data and gained experience in using industry standard image processing software.

Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases.

Unit References:

No prescribed references.

Unit Texts:

Mather P.M., (2002), Computer Processing of Remotely Sensed Images, 2nd ed, John Wiley and Sons.
 

Unit Assessment Breakdown:

Exam 45%, Lab Reports 20%, Mid Semester Test 35%. This is a grade/mark assessment.

Field of Education:

 31100 Geomatic Engineering (Narrow Grouping)

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Fully Online  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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