2020 Faculty Courses School of Computing Major courses
Advanced Topics in Computing BE
- Academic unit or major
- Major courses
- Instructor(s)
- Undecided
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - To be announced
- Class
- -
- Course Code
- XCO.T498
- Number of credits
- 200
- Course offered
- 2020
- Offered quarter
- 3-4Q
- Syllabus updated
- Jul 10, 2025
- Language
- English
Syllabus
Course overview and goals
This course provides lectures on state-of-the-art topics by faculty members invited from overseas universities.
This course will cover topics on image processing and remote sensing, providing basic and advanced knowledge on image analysis (from low-level processing to automatic image interpretation), imaging sensors, non-conventional imaging systems (hyperspectral and active imagery), machine and deep learning applied to image interpretation and image fusion.
Examples of real applications for Earth monitoring will be presented during the course.
Course description and aims
Students should be able to understand basic and advanced knowledge on Image processing with applications on remote sensing images. Students will have a grasp on the physical motivation and interpretation behind the presented approaches.
Keywords
Image processing, remote sensing, hyperspectral imagery, processing of natural signals
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Specified in the class.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction |
Specified in the class |
| Class 2 | Image formation and overview of imaging sensors |
Specified in the class |
| Class 3 | Imagery out of the visible range |
Specified in the class |
| Class 4 | Camera geometry |
Specified in the class |
| Class 5 | Colorimetry and spectral measurements |
Specified in the class |
| Class 6 | Colorimetry and spectral measurements |
Specified in the class |
| Class 7 | Image denoising |
Specified in the class |
| Class 8 | Image restoration |
Specified in the class |
| Class 9 | Image fusion |
Specified in the class |
| Class 10 | Low-level feature extraction |
Specified in the class |
| Class 11 | Object detection |
Specified in the class |
| Class 12 | Image segmentation |
Specified in the class |
| Class 13 | Image classification |
Specified in the class |
| Class 14 | Analysis of hyperspectral images |
Specified in the class |
Study advice (preparation and review)
Textbook(s)
None. The notes will be sent after each lesson to students who follow the lecture.
Reference books, course materials, etc.
will be provided in the class.
Evaluation methods and criteria
A take-home exam at the end of the course
Related courses
- XCO.T496 ： Advanced Topics in Computing AE
- XCO.T497 ： Advanced Topics in Computing AO
- XCO.T498 ： Advanced Topics in Computing BE
Prerequisites
Specified in the class.