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AG2413 Digital Image Processing and Applications 7.5 credits

This is an advanced remote sensing course on sophisticated methods and techniques for collecting, processing and analyzing remotely sensed data; as well as applications of remote sensing in urban planning, environmental monitoring and natural resource management. Throughout the course, emphasis will be placed on image processing, image analysis, image classification, remote sensing and GIS data integration, and applications of remote sensing in various applications.

About course offering

For course offering

Autumn 2024 Start 28 Oct 2024 programme students

Target group

No information inserted

Part of programme

Master's Programme, Transport and Geoinformation Technology, åk 1, Conditionally Elective


P2 (7.5 hp)


28 Oct 2024
13 Jan 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Autumn 2024 Start 28 Oct 2024 programme students

Application code



For course offering

Autumn 2024 Start 28 Oct 2024 programme students


Yifang Ban (


No information inserted

Course coordinator

No information inserted


No information inserted
Headings with content from the Course syllabus AG2413 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

Lectures 20h
Laborations 40h
Written exam

Course contents

  • Remote Sensing & In Situ Data and Image Processing Systems
  • Image Processing
  • Image Analysis
  • Image Classification
  • Digital Change Detection
  • Remote Sensing Applications

The course is composed of lectures, laboratory exercises, readings and student presentations.

Intended learning outcomes

Students will gain theoretical knowledge and practical skills on digital image processing, analysis, and applying these techniques in various remote sensing applications

Literature and preparations

Specific prerequisites

A completed Bachelor of Science in Engineering or 180 credits academic studies in the field of Technical Science, Environmental Science, or planning and documented proficiency in English corresponding to English B.
Furthermore AG1321 Remote Sensing Technology or AG1324 Phtogrammetry and Remote Sensing or equivalent

Recommended prerequisites

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Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd edition, Prentice Hall, Upper Saddle River, New Jersey. 526 pp.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • LAB2 - Laboratory Work, 3.0 credits, grading scale: P, F
  • PRO1 - Project, 1.5 credits, grading scale: P, F
  • TEN2 - Written examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Written exam (TEN1; 3 cr)
Approved laboratory reports (LAB1; 3 cr)
Project (PRO1; 1,5 cr)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No opportunity to raise an approved grade via renewed examination


Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Built Environment

Education cycle

Second cycle

Add-on studies

Written exam (TEN1; 4.5cr)
Approved laborations (LAB1; 3cr)


Yifang Ban (