CIVILEN 7452
Transcript Abbreviation:
Geometry&Spectral
Course Description:
Projective Geometry of sensors; surface reflectance models; map generation; spectral analysis as applied in photogrammetry; pattern analysis for feature and object classification in digital photogrammetry.
Course Levels:
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
4.00
Max Credit Hours:
4.00
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 6451.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Pattern extraction and analysis for photogrammetric applications
Projective geometry of sensors and images
Metrology from single and multiple images
Map generation from images
Spectral analysis of image content
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Projective space and its applications to multiple and single images | 10.0 | 0.0 | 4.0 | 0 |
| Spectral analysis | 10.0 | 0.0 | 3.0 | 0 |
| Advanced pattern analysis for images acquired from multiple viewpoints | 10.0 | 0.0 | 3.0 | 0 |
| Map generation and analysis | 2.0 | 0.0 | 0.0 | 0 |
| Total | 32 | 0 | 10 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework assignments | 25% |
| Programming assignments | 25% |
| Midterm | 20% |
| Final | 25% |
| Class discussions | 5% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Pattern Classification | Richard O. Duda, Peter E. Hart, and David G. Stork | |
| Spectral Analysis of Signals | Petre Stoica and Randolph L. Moses | |
| Multiple View Geometry in Computer Vision | Richard Hartley and Andrew Zisserman |
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)