CIVILEN 7453
Transcript Abbreviation:
PhotogrammetricCV
Course Description:
Fundamental processes of digital photogrammetry. Advanced DEM and orthophoto methods. Extraction of high level features such as lines curves and segments; Matching high level features.
Course Levels:
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
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:
Advanced photogrammetry methods
Application of computer vision principles in photogrammetry
Extraction of high level features
Matching high level features
Check if concurrence sought:
No
Contact Hours:
Topic | LEC | REC | LAB | LAB Inst |
---|---|---|---|---|
Advanced photogrammetry methods | 10.0 | 0.0 | 4.0 | 0 |
Computer vision techniques for advanced photogrammetry | 8.0 | 0.0 | 0.0 | 0 |
High level features in images | 10.0 | 0.0 | 3.0 | 0 |
Feature matching | 4.0 | 0.0 | 3.0 | 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 |
---|---|---|
Machine vision | Synider and Qi | |
Photogrammetry: Geometry from Images and Laser Scans | Karl Kraus |
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)