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Microwave and Radar Remote Sensing

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#40566 / #9

Seit SoSe 2024

English

Microwave and Radar Remote Sensing

6

Hellwich, Olaf

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34341600 FG Computer Vision and Remote Sensing

No information

Kontakt


MAR 6-5

Reigber, Andreas

Andreas.Reigber@dlr.de

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 NameTypeNumberCycleLanguageSWSVZ
Microwave and Radar Remote SensingVL0433 L 112SoSeNo information2
Microwave and Radar Remote SensingUE0433 L 113SoSeNo information2

Workload and Credit Points

Microwave and Radar Remote Sensing (VL):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Preparation/ Post-processing15.02.0h30.0h
60.0h(~2 LP)

Microwave and Radar Remote Sensing (UE):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Preparation/ Post-processing15.06.0h90.0h
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:

none

Mandatory requirements for the module test application:

1. Requirement
Homework Microwave and Radar Remote Sensing

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

The maximum capacity of students is 80.

Registration Procedures

Registration for the module has to be made online, all details can be found on ISIS.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
https://isis.tu-berlin.de/login/index.php

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Automotive Systems (M. Sc.)11SoSe 2024SoSe 2024
Computer Engineering (M. Sc.)15SoSe 2024SoSe 2024
Computer Science (Informatik) (M. Sc.)14SoSe 2024SoSe 2024
Elektrotechnik (M. Sc.)12SoSe 2024SoSe 2024
Geodesy and Geoinformation Science (M. Sc.)14SoSe 2024SoSe 2024
ICT Innovation (M. Sc.)13SoSe 2024SoSe 2024
Medieninformatik (M. Sc.)11SoSe 2024SoSe 2024
Medientechnik (M. Sc.)12SoSe 2024SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)12SoSe 2024SoSe 2024

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

Visiting students may take the module if there is still capacity.

Miscellaneous

No information