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SS 2020 - Image Processing for Remote Sensing

Information
Typ
Integrated course
Duration
one Semester
SWS/Credits Points (ECTS)
4 SWS/6 ECTS
Contact
sekr@rsim.tu-berlin.de
Language
English
Participants
50
Date
20/04/2020
Room
Online Course

Registration

Please register for the course in ISIS.

Learning Outcomes

Participants of this course will gain theoretical and practical knowledge on fundamental concepts and techniques for processing and analysis of remote sensing images acquired by Earth observation satellite and airborne systems.

Content

This course will introduce fundamental concepts and techniques in the content of remote sensing and image processing for Earth observation from space. The course starts by introducing core concepts in remote sensing (describing the processes by which images are captured by sensors mounted on satellite and airborne platforms and key characteristics of the acquired images). Then, fundamental methodologies for processing, analyzing, and visualizing remotely sensed imagery are introduced. Topics include representation of high dimensional remote sensing images, time and frequency domain representations, filtering and enhancement. Practical applications will be provided throughout the course.

Description of Teaching and Learning Methods

The module consists of online teaching and exercises designed to practically rehearse the theory taught in the lectures. The exercises introduce various remote sensing image processing topics, which will be examined in more detail in the homework assignments.

Recommended literature

  • G. Camps-Valls, D. Tuia, L. Gómez-Chova, S. Jiménez and J. Malo, Remote Sensing Image Processing, Editors Morgan & Claypool Publishers 2011
  • T. M. Lillesand, R.W. Kiefer, J.W. Chipman, Remote Sensing and Image Interpretation, John Wiley & Sons Verlag, 2008
  • R. C. Gonzalez., and R. E. Woods, Digital Image Processing, 2nd edition, Prentice Hall, 2001

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