Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	UCS641 - Deep learning in Remote Sensing
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	PROFESÖR DOKTOR UĞUR AVDAN
Mode of Delivery	This course will be carried out face to face.
Prerequisites	There is no prerequisities
Courses Recomended	Basic Programming and Geometric Problems
Recommended Reading List	• LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444.• Tsagkatakis, G., Aidini, A., Fotiadou, K., Giannopoulos, M., Pentari, A., & Tsakalides, P. (2019). Survey of deep-learning approaches for remote sensing observation enhancement. Sensors, 19(18), 3929.• Hoeser, T., & Kuenzer, C. (2020). Object detection and image segmentation with deep learning on earth observation data: A review-part i: Evolution and recent trends. Remote Sensing, 12(10), 1667.• Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019). Deep learning in remote sensing applications: A meta-analysis and review. ISPRS journal of photogrammetry and remote sensing, 152, 166-177.• Li, Y., Zhang, H., Xue, X., Jiang, Y., & Shen, Q. (2018). Deep learning for remote sensing image classification: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(6), e1264.• Li, Y., Zhang, H., Xue, X., Jiang, Y., & Shen, Q. (2018). Deep learning for remote sensing image classification: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(6), e1264.• Chassagnon, G., Vakalopolou, M., Paragios, N., & Revel, M. P. (2020). Deep learning: definition and perspectives for thoracic imaging. European radiology, 30(4), 2021-2030.• Ball, J. E., Anderson, D. T., & Chan Sr, C. S. (2017). Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community. Journal of Applied Remote Sensing, 11(4), 042609.
Assessment methods and criteria	2 midterms, 1 final exam
Work Placement
Sustainability Development Goals

Content

Weeks	Topics
Week - 1	Fundamentals of machine learning and deep learning
Week - 2	Models and hyperparameters in deep learning
Week - 3	Python programlama dili ile bilgisayar programlamanın temelleri
Week - 4	Image classification with deep learning
Week - 5	Image classification application with deep learning
Week - 6	Object detection with deep learning
Week - 7	Object detection application with deep learning in satellite images
Week - 8	Pixel-based classification with deep learning
Week - 9	Pixel-based classification with deep learning
Week - 10	Pixel-based classification application with deep learning on satellite images
Week - 11	Pixel-based classification application with deep learning on satellite images
Week - 12	Deep Learning Project
Week - 13	Deep Learning Project
Week - 14	Deep Learning Project

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Question & Answer
Drill - Practise
Report Preparation and/or Presentation
Proje Design/Management
Competences
True to core values
Follow ethical and moral rules
Effective use of a foreign language
Abstract analysis and synthesis
Information Management
Elementary computing skills
To work in interdisciplinary projects
Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0