1) Earth Observation Big Data
2) Image Pre-processing
3) Advanced Image Analysis
4) Advanced Image Classification
5) Digital Change Detection
6) Earth Observation Big Data Analytics
7) Remote Sensing Applications
FAG3106 Advanced Remote Sensing 7.5 credits
Information per course offering
Information for Autumn 2024 Start 28 Oct 2024 programme students
- Course location
KTH Campus
- Duration
- 28 Oct 2024 - 13 Jan 2025
- Periods
- P2 (7.5 hp)
- Pace of study
50%
- Application code
51579
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
- No information inserted
Contact
Yifang Ban yifang@kth.se
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FAG3106 (Autumn 2018–)Headings with content from the Course syllabus FAG3106 (Autumn 2018–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
This course intends to provide a comprehensive overview of sophisticated techniques for acquiring remotely sensed data, state-of-the-art algorithms for image processing and analysis, and real-world applications of remote sensing in various fields such as urban planning, environmental monitoring and natural resource management.
Literature and preparations
Specific prerequisites
AG1321 Remote Sensing Technology or equivalent
AG2413 Digital Image Processing and Application or equivalent
Equipment
No information inserted
Literature
Introductory Digital Image Processing: A Remote Sensing Perspective (4th Edition)
Multitemporal Remote Sensing: Methods and Applications
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- LAB1 - Laboratory exercises, 3.0 credits, grading scale: P, F
- PRO1 - Project work, 4.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
LAB1 - Laboratory Work, 3.0 credits, grade scale: P, F
PRO1 - Project, 4.5 credits, grade scale: P, F
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted
Contact
Yifang Ban yifang@kth.se
Supplementary information
The course replaces the previous course F1N5510: Knowledge-based Remote Sensing 7,5 credits.