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Algorithmic Techniques for EO Systems
Data from EO cameras and systems must be processed if images suitable for viewing are to be displayed or easily interpretable information is to be supplied.
The algorithms that are used to conduct the transformation vary from well established image processing techniques (e.g. contrast stretching) to complex multi-dimensional data analysis routines.
They are employed to solve problems such as image enhancement, clutter suppression, and detection / tracking / classification of targets.
The aim of this course is to provide a solid grounding in the broad range of algorithmic techniques employed in the EO industry.
You will learn about the different types of EO sensors that are currently in poduction and the characteristics of the data that they produce before being introduced to the following categories of algorithm:
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This course is a one-day overview of many different approaches. It is designed to introduce you to the principles of algorithms commonly used in the EO industry and to equip you with a suitable 'bag of tools' with which to tackle a wide range of EO processing projects.
The pace is therefore rapid and the course purely lecture based, with sessions dedicated to each of the main topics listed above. No previous image processing knowledge or experience is required but the course is best suited to engineers and scientists with some basic level knowledge of imaging or EO systems.
For further details about the course structure and full content specification, as well as cost, please contact us.