Enabling our customers to deliver the highest data quality with a high level of automation, embedded within an easy-to-use workflow, has always been our primary goal in developing the UltraMap Software suite. While creating and verifying high-quality geometric results is relatively straightforward, achieving good radiometric quality, on the other hand, is more complex. This complexity arises from the general challenge that color is inherently subjective, meaning different people see it differently. In addition, current tenders often struggle to define meaningful quality parameters to work against.
In this blog, we will delve into the challenging field of radiometric processing and how the UltraMap and new tools from version 6.4 can help fulfill even the most demanding requirements.
In the journey from raw data to final output, one of the first critical steps happens within UltraMap Essentials during the post-processing phase, thanks to our True Pixel Processing (TPP) approach. This proprietary method is designed to preserve all pixel information from the moment of initial exposure through to the final data products, all while maintaining the exceptional image geometry that UltraCams are known for. For a deeper dive into TPP, we encourage you to explore our previous blog posts:
The past releases of UltraMap have already featured significant improvements in the radiometry stage, such as the new water handling introduced in version 6.0. These enhancements are essential additions to the already well-established radiometric workflow, which includes tools like automated color balancing, Levels and Gamma settings, and more.
The capabilities in UltraMap are so diverse because the requirements and preferences of end customers vary greatly, and there is no single "correct" image when it comes to radiometric properties. Expectations range from requests for super balanced aerial imagery with low contrast, well-lit shadows, and well-handled highlights, to very contrasty, vibrant imagery.
Nevertheless, there are common grounds such as achieving realistic colors, imagery that is free of color cast, and radiometry that remains consistent even when data is collected years apart.
One way to ensure your image is color cast-free is to adjust the Levels and Gamma settings. But how can you confirm that the image is truly free of a color cast?
In the image above, you see that we've placed color targets on the rooftop of our headquarters in Graz during test flights. The gray surroundings on this roof are ideal because they prevent any interference with the color targets. When you look at the histogram of the gray color target, the red, green, and blue channels align perfectly. This happens because gray, black, and white are neutral colors, meaning their color channels have equal values. This alignment in the histogram confirms the absence of a color cast.
The image was captured by the UltraCam Dragon 4.1 with a GSD of 5 cm and is part of the newly released sample data set from this hybrid aerial mapping system.
You are currently viewing a placeholder content from Youtube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Instagram. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from X. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information