Othmar Frey: Katalogdaten im Frühjahrssemester 2022 |
Name | Herr Dr. Othmar Frey |
Adresse | Institut für Umweltingenieurwiss. ETH Zürich, HIF D 12.1 Laura-Hezner-Weg 7 8093 Zürich SWITZERLAND |
Telefon | +41 44 633 41 78 |
frey@ifu.baug.ethz.ch | |
URL | http://www.eo.ifu.ethz.ch/the-group/people/person-detail.html?persid=64837 |
Departement | Bau, Umwelt und Geomatik |
Beziehung | Dozent |
Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|
102-0617-01L | Methodologies for Image Processing of Remote Sensing Data | 3 KP | 2G | I. Hajnsek, O. Frey, S. Li | |
Kurzbeschreibung | The aim of this course is to get an overview of several methodologies/algorithms for analysis of different sensor specific information products. It is focused at students that like to deepen their knowledge and understanding of remote sensing for environmental applications. | ||||
Lernziel | The course is divided into two main parts, starting with a brief introduction to remote sensing imaging (4 lectures), and is followed by an introduction to different methodologies (8 lectures) for the quantitative estimation of bio-/geo-physical parameters. The main idea is to deepen the knowledge in remote sensing tools in order to be able to understand the information products, with respect to quality and accuracy. | ||||
Inhalt | Each lecture will be composed of two parts: Theory: During the first hour, we go trough the main concepts needed to understand the specific algorithm. Practice: During the second hour, the student will test/develop the actual algorithm over some real datasets using Matlab. The student will not be asked to write all the code from scratch (especially during the first lectures), but we will provide some script with missing parts or pseudo-code. However, in the later lectures the student is supposed to build up some working libraries. | ||||
Skript | Handouts for each topic will be provided. | ||||
Literatur | Suggested readings: T. M. Lillesand, R.W. Kiefer, J.W. Chipman, Remote Sensing and Image Interpretation, John Wiley & Sons Verlag, 2008 J. R. Jensen, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall Series in Geograpic Information Science, 2000 |