Moses - Microwave and Radar Remote Sensing

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SS 2017 - WS 2017/18. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40566 / #4

Validity:
SS 2017 - WS 2017/18

Default display language:
English

Module title:
Microwave and Radar Remote Sensing

Credits:
6

Responsible person:
Hellwich, Olaf

Grading:
benotet

Type of exam:
Schriftliche Prüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Technische Informatik und Mikroelektronik

Area of expertise:
34341600 FG Computer Vision and Remote Sensing

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 6-5

Contact person:
Reigber, Andreas

E-mail address:
Andreas.Reigber@dlr.de

Website:

https://www.tu.berlin/cv

Learning Outcomes

Qualification aim of this module is to impart methods for signal processing, image enhancement, feature extraction and grouping. The alumni have learned and practiced to use their skills in multifaceted application areas. The exploration of the relations between physical reality of the environment and data collected with imaging sensors are emphasized, mathematical modells are used for description.

Content

Physical basics, microwave systems, radar with synthetic aperture (SAR): application process, SAR-image generation, SAR-interferometry, coherence, differential SAR-interferometry, permanent scatterer analysis, SAR-polarimetry, scattering matrix, partial scatterer, decomposition theorems, entropy/alpha-classification, polarimetric SAR-interferometry, object extraction from SAR-data, sensor/ data fusion

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Microwave and Radar Remote Sensing	VL	0433 L 112	SoSe	No information	2
Microwave and Radar Remote Sensing	UE	0433 L 113	SoSe	No information	2

Workload and Credit Points

Microwave and Radar Remote Sensing (VL):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Preparation/ Post-processing	15.0	2.0h	30.0h
			60.0h(~2 LP)

Microwave and Radar Remote Sensing (UE):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Preparation/ Post-processing	15.0	6.0h	90.0h
			120.0h(~4 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Underlying sensor components, methods and algorithms are explained in a way allowing the transmission of the handled sensor- and system aspects to other cases. Methods and algorithms are implemented and applied exemplarily in the exercises taking place in parallel.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Knowledge from the module “Optical Remote Sensing” is preferable.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

English

Duration/Extent

90 minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration for the exam has to be made online.

Recommended literature
http://www.cv.tu-berlin.de/menue/lehre/sommersemester/microwave_and_radar_remote_sensing/parameter/en/

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Nebenhörerinnen / Nebenhörer können an der Veranstaltung teilnehmen.

Miscellaneous

The module is offered each summer term.

Microwave and Radar Remote Sensing