Area: | Department of Spatial Sciences |
Contact Hours: | 5.0 |
Credits: | 25.0 |
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
|
| 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. |
| No prescribed references. |
| Mather P.M., (2002), Computer Processing of Remotely Sensed Images, 2nd ed, John Wiley and Sons. |
| Exam 45%, Lab Reports 20%, Mid Semester Test 35%. This is a grade/mark assessment. |
| 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. |
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | Y |
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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