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COURSE SYLLABUS

Image Processing with Space Applications 7.5 Credits

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Second cycle, R7011R
Version
Course syllabus valid: Autumn 2012 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.


Education level
Second cycle
Grade scale
G U 3 4 5
Subject
Space and Atmospeheric Science
Subject group (SCB)
Space Technology

Entry requirements

Linear algebra(M0030M), Fourier transforms (M0018M), programming (D0009E), basic optics (F0005T). The student shall have a background in physics and/or technology corresponding to 3 years of university studies.


More information about English language requirements


Selection

The selection is based on 20-285 credits



Course Aim

The student should have the skills and knowledge to:

  • with broad expertise in the field of space engineering, be able to describe the impact on the post-processing methods  from the image formation system in space applications such as northern light measurements, astronomy and earth observations. This is shown through presenting concepts for image correction enhancement methods for space applications

  • apply knowledge in mathematics and science for qualitative and quantitative analysis of common digital image processing methods, and to describe images, systems and operations in different domains. This is shown by comparison of results of applying different methods: calculation of error residuals, SNR, visual artifacts, and for linear systems calculations and mathematical descriptions of images and operations in both spatial and frequency domain.

  • be able to model and simulate system effects using software such as MATLAB, and implement and analyze image correction methods. This is shown through laboratory work where the student implements, applies and analyzes results.

Contents
The course will cover:
Examples on image formation systems in space ( for example aurora research, earth observation from space, astronomy) .
Radiometric and geometric correction
Image processing: Contrast enhancement, filtering, color composites, principal components
Image restoration, de-convolution
Digital classification
Image compression
Image processing in spatial and frequency domain
Image processing methods are implemented in software (such as MATLAB)

Realization

Lectures, compulsory exercises and individual exercises will be scheduled. All students must attend the compulsory exercises and hand in reports on compulsory assignments. The individual exercises will give an opportunity for the student to test methods taught during lectures, and to make the student familiar with the software tools. Apart from scheduled teaching the students are expected to study parts of the course literature individually and solve exercises belonging to course sections.


Examination

To pass the course the student must have attended all compulsory exercises, been approved on reports and assignments and approved with mark 3 or more on the final examination. The final examination will be a written exam or, in special cases, an oral exam combined with a report on an extensive project. During the course there may be homework assignments that render bonus marks on the written exam that follows directly after the course has been given.


Remarks
Second cycle course

Examiner
Anita Enmark

Literature. Valid from Autumn 2011 Sp 1 (May change until 10 weeks before course start)
Gonzales , R.C. & Woods, R. E. (2008) Digital Image Processing (3rd ed.) Saddle River, N.J.: Pearson Prentice Hall.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Items/credits
NumberTypeCreditsGrade
0001Written exam4.5G U 3 4 5
0002Project work3.0U G#

Syllabus established
by Dept of Space Science 28 Feb 2007

Last revised
by Jonny Johansson, HUL SRT 14 Mar 2012