Title of course: Hyperspectral remote sensing
Code: TTGME7045_EN
ECTS Credit points: 3
Type of teaching, contact hours
-lecture: 1 hours/week
- practice: 2 hours/week
- laboratory: -
Evaluation: exam
Workload (estimated), divided into contact hours:
- lecture: 14 hours
- practice: 28 hours
- laboratory: -
- home assignment: -
- preparation for the exam: 16 hours
Total: 30 hours
Year, semester: 1st year, 2 nd semester
Its prerequisite(s): -
Further courses built on it: -
Topics of course
Hyperspectral Remote Sensing deals with the collection, information retrieval and processing of airborne and near-ground hyperspectral data. Students will be introduced to hyperspectral data types from a variety of sources, from ground-based technology to satellite remote sensing. Practical courses will provide the opportunity to learn about different methods for pre-processing hyperspectral imagery, mainly in the fields of geometric and atmospheric correction. They will learn about the application of different information retrieval techniques for processing large-scale data. Students will be introduced to different algorithms of image classification techniques, both teaching and non-teaching methods, and the methodology of evaluating the results in the practical classes.
Literature
- Borengasser, M., Hungate, W., Watkins, R. (2008). Hyperspectral Remote Sensing. Boca Raton: CRC Press.
- Thenkabail, PS, Lyon, JG, Huete, A. 2018. Hyperspectral Remote Sensing of Vegetation, Second Edition, Four Volume Set, CRC Press, ISBN 9781138066250
Requirements:
- for a signature
Attendance at lectures is recommended, but not compulsory.
- for a grade
The course ends in a writing examination. The minimum requirement for the test respectively is 50%. Based on the score of the test, the grade for the test is given according to the following table:
| Score | Grade |
| 0-49 fail | (1) |
| 50-64 pass | (2) |
| 65-74 satisfactory | (3) |
| 75-85 good | (4) |
| 86-100 excellent | (5) |
If the score of any test is below 50, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.
Person responsible for course: Dr. Péter Burai, PhD, senior research fellow