course-details-portlet

TTK4265 - Optical Remote Sensing

About

New from the academic year 2020/2021

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 50/100 4 hours D
Approved report 50/100 A

Course content

The first module of the course introduces cameras, visual and infrared spectrum imagers, imaging spectroscopy both theoretically and practically. It contains a review of basic optics to explain the design of a hyperspectral imager. This includes fundamental effects such as refraction, diffraction and interference. With the basic theory established, concepts like spectral range, bandpass, etendue and throughput will be explained. Calibration and correction will be emphasized: Spectral, radiometric, geometric including keystone/smile, and calibration in the field.

The second module considers how to design a drone based optical remote sensing system for high quality measurements: Drone based sensor systems, system design, metadata, time synchronization, navigation and geolocation, data compression, onboard and real-time processing systems. Mechanical, electric and software image stabilization, attitude control, gimbals. Methods and software for orthophoto and photogrammetry.

The third module gives an introduction to practical drone operations, emphasizing mission planning, risk analysis and safety assurance.

The fourth module addresses general challenges in remote sensing with regards to the radiometric effects of the atmosphere and how to compensate for this: Atmospheric effects on remote sensing, Radiative transfer equation, two stream equation, discrete ordinate method, phase functions, application to remote sensing, radiative transfer numerical modelling, spectral properties of targets.

The fifth module addresses satellite remote sensing systems. Orbits, attitude control, image acquisition, mission design, mission analysis, correction.

The course will give practical training on laboratory calibration, use of cameras and hyperspectral imagers from moving and fixed platforms. The data collected will be evaluated and summarized in a mandatory project report.

Learning outcome

Knowledge: The main learning objective is to understand the basic principles of remote sensing from space and air using optical instruments in visual and infrared spectrum including RGB cameras, multispectral and hyperspectral instruments.

Skills: Analysis and design of optical imaging systems. Calibration of optical instruments. Planning and execution of drone operations for remote sensing. Use of software for orthophoto and photogrammetry.

General competence: The aim is to enable the students to conduct and develop payload systems and experiments utilizing optical imaging as a tool in remote sensing.

Learning methods and activities

The course is given as a mixture of lectures, assignments, and a project that is based on laboratory and field experiments.

Further on evaluation

Portfolio evaluation ("Mappevudering") is used to define the final grade in the subject. Parts of the portfolio are the final exam in writing 50%, and a project report (lab and field experiment findings) 50%.

The result of each part is given in percentage units, while evaluation of the entire portfolio (the final grade) is given as a letter. If there is a re-sit examination, the examination form may change from written to oral.

Required previous knowledge

TMA4410 Calculus 3

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2020

No.of lecture hours: 3
Lab hours: 3
No.of specialization hours: 6

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Electronics
  • Geodesy
  • Electrooptics/Biooptics
  • Engineering Cybernetics
  • Marine Technology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Engineering Cybernetics

Phone:

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Approved report 50/100 A
Room Building Number of candidates
Autumn ORD Written examination 50/100 D
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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