ArcGIS Reality Studio Blog

Explore this curated blog post to get guidance on best practices for planning, processing, or refining your Reality Mapping projects.

Discover how ArcGIS Reality Studio optimizes processing jobs by intelligently breaking work into stages and tasks. This allows you to process complex workloads in an environment that can dynamically scale from a single machine to multiple processing nodes. Benefit from resilient recovery and efficient hardware usage to minimize the time required to process your projects.

ArcGIS Reality Studio can be deployed fully automatically. With just a few commands, you can streamline the installation and authorization process and even create customized setups tailored to your specific needs.

Same features, just better

• Elevation Source Fix: Resolved the issue where using a DSM as an elevation source for drawing correction geometries was not possible.
• Water Body Feature Enhancement: Coarse water body feature is more robust for oblique datasets.
• Mesh Edit Package Updates: Edits from imported Mesh Edit Packages are now always reflected in the DSM.
• Image Optimization Stability: Fixed a crash that occurred when Image Optimization was requested without specifying a workspace.
• Capture Session Reliability: Addressed crashes that could happen when clicking Finish on a Capture Session creation in cloud environments.
• Cloud Storage Alignment: Resolved issues with running alignments when images are stored in cloud storage.
• Import Functionality Fix: Users can now successfully import capture sessions from Reality Studio into ArcGIS Pro as frames and cameras tables.

Why Update?

How to Update

Stay Connected

ArcGIS Reality Studio is great at turning your input data into accurate 3D mesh products. But let’s be honest, sometimes the results can look a little... dull.

ArcGIS Reality Studio 2025.1 introduces lidar data integration to improve the quality and completeness of geospatial products. Lidar data is complementary to the imagery data, especially in cases where the geometry of the surface is difficult to reconstruct from images only -such as highly reflective surfaces, dense vegetation, low-texture areas like concrete or snow, or complex urban environments with occlusions.

Key Features and Enhancements

Lidar Support

• Enhanced Reconstruction: Now you can leverage lidar data collected alongside aerial imagery. This improvement is particularly beneficial for challenging environments, such as dense urban areas with reflective buildings.

Editing and Export Capabilities

• Mesh Editing in the App: Edit 3D meshes directly within Reality Studio. Draw correction geometries to fix artifacts like incomplete building facades, enhancing the quality of your mesh products.

• External Mesh Editing: Use external editing software to refine your 3D meshes. Mark areas for updates, generate edit packages, and import them back into Reality Studio for reprocessing.

• Quality Control Geometries: A new geometry type allows you to track and manage areas affected by artifacts, ensuring high-quality outputs.

Mesh Export Capabilities

• Extended Export Tools: Export meshes in various formats, apply vertical shifts, utilize color lookup tables for texture correction and clip to a region of interest.

Alignment Enhancements

• Gallery View: Adjust the layout of the image measurement tool to view one, four, or nine images simultaneously for efficient measurement placement.

• Improved Quality Assurance: New metrics for evaluating alignment quality are now accessible through the QA tool and alignment reports.

Improved Quality Assurance - ArcGIS Reality Studio

• Distributed Image Optimization: Submit image optimization processes to a workspace for distribution, significantly reducing processing time.

Other Improvements

• Faster Reconstruction Updates: Experience improved processing speeds when updating reconstructions.
• Optimized Meshes: Generate meshes with better rendering performance for mobile, web, and AR/VR applications, while also reducing disk space usage.
• User Experience Enhancements: The process manager now groups processes based on their state, making it easier to monitor and manage your workflows.

Conclusion

• ArcGIS Reality Studio Ideas
• ArcGIS Reality Studio Questions

The image overlap ratio significantly impacts the quality of reality products. Optimal image overlap can minimize artifacts, such as data gaps and improve accuracy and sharpness. Additionally, it is closely linked to the performance, significantly influencing processing runtime. Therefore, this article provides recommendations for selecting the right image overlap to find a balance between quality and efficiency.

Boost your productivity in ArcGIS Reality Studio with the power of distributed processing. This article shows you how easy it is to get started. It only takes a few simple steps. Learn to create and manage workspaces, connect processing nodes, and submit jobs efficiently. Streamline your workflows and elevate your projects to new heights, making your work more efficient and impactful.