Get familiar with using Python code to perform image processing methods and algorithms – and what they mean.

Get hands – on knowledge and practice on one of the most important skills in modern technology industry: Digital Image Processing

Enroll now!

Are you familiar with image processing techniques, but struggle with code (or vice versa)? Are you a remote sensing professional or student, looking to delve into using and developing image processing algorithms? Or are you in a software engineering discipline, looking to expand your work field? Or maybe just curious about how Instagram filters work? Then this course is for you!

Understand both the theory behind image processing methods and how to master code to manipulate the parameters as you wish and get the desired results. After completing this course, you will be in position to write your own scripts for basic image processing, as well as being confident to either try more complicated scripts, or to understand and implement more difficult image processing methods.

Enroll now and get to work!

Learn digital image processing with OpenCV and boost your knowledge and skills

Use your own scripts to become independent from commercial software and understand the mechanics behind image processing for more efficient problem solving.
Enroll now and advance your skills

Course curriculum

  1. 01

    • Lesson 1: Introduction

    • Lesson 2: The Conda distribution: Downloading and installing the necessary packages

    • Lesson 3: Getting familiar with Jupyter Notebook
  2. 02

    • Lesson 4: Importing, drawing on and displaying images

    • Lesson 5: A game with the drawing functions

    • Lesson 6: Splitting channels and map algebra

    • Lesson 7: Resizing, cropping and exporting images
  3. 03

    • Lesson 8: Image gradients. Introduction to convolution

    • Lesson 9: Edge detection with Canny operator

    • Lesson 10: Line detection with Hough Transform

    • Lesson 11: A simple geocomputation application
  4. 04

    • Lesson 12: Image colorspace and thresholding

    • Lesson 13: Image histogram extraction and manipulation

    • Lesson 14: A few more convolution – based operations

    • Lesson 15: Image classification with k – means clustering
  5. 05

    • Lesson 16: Optimal importing of multiple bands

    • Lesson 17: Pre – processing of the images

    • Lesson 18: Classification and extraction of final images

    • Lesson 19: Change detection: Calculation of burned area
  6. 06

    • Lesson 20: Some remarks about the course, key takeaways, things to try on your own

    • Bonus: Materials and code

What will you learn?

  • The convenience of the Anaconda distribution and Jupyter notebook

  • Theory behind image processing methods

  • Parameter manipulation to get your desired results

  • Basic structures of images and how to manipulate them

  • Application with programming code using OpenCV

  • Build the confidence to make your own scripts

  • Satellite image processing using python

Any Prerequisites?

  • Basic understanding of programming code principles is desired

Student Profile?

  • Under/post graduate students

  • Professionals and Companies

  • Master students and PhD candidates

  • Researchers and Academics

Some more information

  • Certificates of Completion

    After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc

  • Available at any time! Study at your best time

    We know hard it is to acquire new skills. All our courses are self paced.

  • Online and always accessible

    Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE

About your Instructor

Dimitris Sykas is a Remote Sensing and Surveying Engineer with a Ph.D. in hyperspectral remote sensing from the National Technical University of Athens (2016). He has spent fifteen years turning satellite data into operational products: at the NTUA Remote Sensing Laboratory, at Planetek Hellas as Senior EO Engineer, at Neuropublic building machine-learning models for smart farming and CAP monitoring, as a postdoctoral researcher on deep learning for agricultural Earth observation at the National Observatory of Athens, and as CTO of the cloudeo group. In 2024 he co-founded GOVADI, an Athens-based company building sovereign, on-premises AI systems for the Greek public sector and large enterprises, where he leads the technical direction of its products: Greek speech-to-text, retrieval-augmented generation with local models and embedding stores, document OCR and PII anonymisation. He has taken part in more than 25 funded EU and ESA projects, has authored over 23 peer-reviewed publications in remote sensing, and holds an international patent in hyperspectral data compression. He founded GEO University to bring hands-on GIS and Earth observation training online.

Dimitris Sykas

Remote Sensing Engineer, Ph.D. · Co-founder and Director, GOVADI · Founder, GEO University

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