New color balancing

Next-level color balancing in UltraMap: Consistent radiometry, naturally preserved

Blog
8 July 2026
UltraMap global color balancing

Color balancing is one of the most critical and complex steps in aerial data production. Variations in illumination, atmosphere, and surface reflectance can easily lead to visible seams, gradients, or unnatural tones in the final mosaic. UltraMap addresses these challenges automatically and at scale with a modern color balancing approach. By combining holistic, model-based correction with intelligent blending, UltraMap harmonizes brightness and color across nadir and oblique imagery, even under changing capture conditions. The result is a seamless, realistic dataset that preserves natural scene characteristics while delivering consistent radiometry across the entire project. 

The challenge: High-quality input under real-world conditions


Even with careful planning and best efforts in the field, not every flight can be executed under perfect conditions. Weather windows, airspace constraints, and project timelines inevitably introduce variability into the data. UltraMap is designed to handle these real-world imperfections and extract the best possible results from the imagery. While the software compensates for a wide range of conditions, following proven acquisition guidelines remains key to achieving optimal output. Learn more in our blogpost on how to plan your mission for consistent aerial mapping results. 

Typical challenges include: 

  • Changing illumination conditions due to varying sun angles 
  • Atmospheric effects such as haze and humidity 
  • Anisotropic surface reflectance — meaning that some surfaces reflect light differently depending on the viewing and illumination angle; this is especially visible in water, vegetation, and buildings
  • Complex land cover behavior 
    - Urban areas with sharp shadows and strong contrast
    - Vegetation with directional reflectance
    - Water surfaces with specular reflections

Processing software must handle all of these effects simultaneously without flattening contrast or destroying natural scene characteristics. Color balancing is therefore a tradeoff problem. Normalizing differences too aggressively risks flattening detail, while preserving local variation can lead to visible transitions. UltraMap is designed to solve this as a unified, project-wide task rather than a series of local adjustments. 

Our Approach: Holistic models combined with intelligent blending


UltraMap uses a holistic, model-based approach combined with intelligent blending to deliver robust and natural-looking results. Physical and statistical models analyze each image and reduce the influence of atmospheric conditions, light diffusion, and sun angle. This reduces the impact of changing illumination across flight lines and viewing directions. 

At the same time, natural scene characteristics are preserved. Dark cast shadows remain dark and are not artificially brightened. Contrast and detail are maintained, and colors stay close to the original input data. By addressing all relevant challenges in a single, unified process, UltraMap ensures consistent radiometric quality across the entire project without compromising realism. 

What’s new: Key improvements over previous UltraMap versions


1. MORE HOMOGENEOUS IMAGE QUALITY

Reduced gradients
Gradual brightness or color variations across the block are significantly reduced, resulting in uniform brightness and color across the entire project. 

UltraCam Osprey 4.1 | Tulsa, Oklahoma, USA

UltraCam Osprey 4.1 | West Palm Beach, FL, USA

UltraCam Condor 4.1 | Murfreesboro, TN, USA

Next-level color balancing of water bodies 
No artificial halo effects (artificial light or dark fringes around edges) or edge artifacts near coastlines and physically accurate water colors in coastal areas 

Aerial images results from UltraMap color balancing

UltraCam Osprey 4.1 | Barcelona, Spain

Improved oblique dehazing 
Oblique images are better aligned with nadir imagery, creating a consistent visual appearance in all viewing directions. 
Photogrammetry radiometry of UltraMap
UltraCam Osprey 4.1 | Sandy Springs, GA, USA

2. FASTER, MORE EFFICIENT, AND MORE ROBUST PROCESSING

Overhauled architecture
The overhauled color balancing architecture introduces substantial efficiency gains, delivering up to 2x faster throughput on a single workstation, depending on the workload, and significantly accelerating the entire pipeline. 

More robust results under challenging conditions 
Enhanced robustness delivers reliable results even under challenging conditions, such as low-overlap projects with fewer correction points. 

Faster processing with UltraMap

3. NEW: ADDITIONAL FLIGHT MISSION ALIGNMENT 

The new model-based flight mission alignment is performed by default and preserves the physically correct characteristics of each flight mission. For datasets acquired under consistent conditions, it typically delivers highly homogeneous project-wide results. 

Real-world projects, however, often involve varying weather conditions, operational constraints, or longer acquisition periods that can introduce differences between flight missions. 

To address these cases, UltraMap offers an Additional Flight Mission Alignment option. Customers can choose to run it always, never, or automatically. In automatic mode, UltraMap analyzes the results of the default model-based alignment and applies the additional alignment only when needed to reduce visible transitions between flight missions. 

Sophisticated color balancing with UltraMap
The latest color balancing improvements in UltraMap address radiometric inconsistencies at project level rather than through local adjustments. The revised approach improves gradient reduction, stabilizes color across different surface types, and better aligns nadir and oblique imagery. At the same time, it maintains contrast and preserves original scene characteristics. This leads to more reliable results with reduced manual intervention, particularly in challenging datasets.
Learn how to fly an aerial mapping project for consistent, homogeneous results.
Explore practical guidelines

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