Data processing course
Have you ever been dissatisfied with the appearance of the satellite image? Have you ever seen image that does not fit to your reference data? Perhaps you found yourself in a situation, where you had to perform orthorectification by yourself, or maybe the result of pansharpening was not acceptable? Finally, why some of the buildings on the image have a “banana” shape and runway is not straight?
In the course, you will learn about and practice the most common techniques of raster data processing to handle above mention issues, and more.
Do not worry, you do not need a prior knowledge of data processing, you will be provided with adequate theory coming from three fields of science: photogrammetry, remote sensing and cartography to make the right decisions.
We believe in skills therefore we put emphasis on practice with most common GIS and remote sensing applications like ArcMap and ERDAS.
This data processing training is strongly recommended for imagery analysts or professionals who need to work with digital data, which still required orthorectification, reprojection or merging. Individuals who work with processed images might appreciate fast raster on-the-fly enhancement methods to improve their visible analysis.
Considering wide range of existing sensors, the data that we will focus on are most common commercial, satellite, optical, multispectral or panchromatic sensors such as for example: QuickBird, WorldView, GeoEye, Ikonos or Pleiades.
At the end of the course, attendees will be able to:
- Order appropriate raster products from commercial and open sources;
- Understand imagery acquisition process;
- Explore and understand raster data with associated metadata;
- Enhance imagery appearance;
- Understand basics of geographic and projected coordinate systems;
- Reproject raster data;
- Conduct right pansharpening process for different sensors;
- Perform basic raster geometric correction;
- Perform orthorectification with use of rational function coefficients (RPC);
- Generate data elevation model from stereo images;
COURSE PREREQUISITES FOR ATTENDEES:
- Attendees must be at least vantage (B2) in the English language.
- Attendees must have an EU SECRET security clearance.
- Prior practice with ArcGIS or ERDAS is an advantage.