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| HRT3016 | Laser Scanning Technology | 2+0+0 | ECTS:2 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Fevzi KARSLI | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Objectives of this course are to explain the basic fundamentals of laser scanning, instruments and techniques and how to get information from laser scanning data.
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| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | To have knowledge of mathematics, science and engineering, and to gain the ability to apply this knowledge in modeling and solving engineering problems. | 1,5,10 | 1,3, | | LO - 2 : | Ability to define engineering problems and solve them by selecting appropriate models and analysis methods. | 1,5,10 | 1,3, | | LO - 3 : | Ability to effectively select and use modern techniques, tools and information technologies within the scope of Geomatics Engineering | 1,5,10 | 1,3, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Laser scanners, the principles of laser scanners, airborne laser scanners, physical principles, geometric principles, available sensors, auxiliary equipments, terrestrial laser scanners, fundamental problems, triangulation algorithms, cleaning point abundances, geometric transformation, terrestrial laser scanners integrated with photogrammetry, comparison between photogrammerty and laser scanning technology, application areas of laser scanning technique, availability of systems, future expectations.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, scope of the course, concepts, applications. | | | Week 2 | Laser scanning term, definition and principles | | | Week 3 | Physical and geometric properties. | | | Week 4 | LiDAR basic components, data acquisition and scanning methods. | | | Week 5 | LiDAR mathematical model. | | | Week 6 | Airborne (LiDAR) systems and calibration. | | | Week 7 | Laser system Geo-referencing | | | Week 8 | Midterm exam | | | Week 9 | Point cloud, DEM and SAM, 3D model generation. | | | Week 10 | LiDAR error sources, quality assessment. | | | Week 11 | Detail extraction and filtering from LiDAR data. | | | Week 12 | LiDAR, Photogrammetry/Remote Sensing integration. | | | Week 13 | Segmentation with LiDAR data, voxel analysis | | | Week 14 | True Orthophoto production with LiDAR data. | | | Week 15 | Application project presentations. | | | Week 16 | Final Exam | | | |
| 1 | Shan, J. and Toth, C. K., (2018); Topographic Laser Ranging and Scanning Principles and Processing, Secon Edition, CRC Press, Taylor & Francis Group, LLC, USA. | | | |
| 1 | http://home.iitk.ac.in/~blohani/; www.google.com.tr (anahtar kelime: LiDAR, laser scanning); www.isprs.org; www.asprs.org
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| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | | 1 | 30 | | Homework/Assignment/Term-paper | 8
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12 | | 6 | 20 | | End-of-term exam | 16 | | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 1.5 | 14 | 21 | | Laboratuar çalışması | 1 | 14 | 14 | | Arasınav için hazırlık | 8 | 1 | 8 | | Arasınav | 1 | 1 | 1 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 4 | 2 | 8 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 8 | 1 | 8 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 89 |
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