What's new in ArcGIS Reality Studio 2025.1
New and improved functionality and enhancements in Reality Studio 2025.1 are described below.
Lidar support
You can now leverage the lidar data that has been simultaneously collected with your aerial imagery. This enhancement uses the lidar point clouds from hybrid sensors during the reconstruction process, making it more effective for challenging scenarios. For example, you can capture dense urban areas with highly reflective buildings such as high-rises.
Editing and export capabilities
New editing and export capabilities are described in the following subsections.
Mesh editing in the app
In this release, you can edit 3D meshes directly in Reality Studio. You can draw 3D correction geometries to correct artifacts such as incomplete building facades. Once defined, these geometries can be specified in the reconstruction settings, which causes the reprocessing of the affected areas. This enhances the overall quality of mesh products.
Mesh editing with external tools
You can now edit the surface geometry of 3D meshes with external editing software. You can mark up the areas you want to update using the new quality control geometry; then generate edit packages from them. These packages can be opened in external mesh editing applications for detailed modifications such as manually modelling objects, removing unwanted parts, adding missing features, and incorporating 3D models of complex objects. Once edited, the packages can be imported back into Reality Studio, where the reconstruction reprocessing takes them into account.
Quality control geometries
A new geometry type for capturing areas affected by artifacts is available. The quality control geometry allows you to mark affected areas, create editing packages, and track the quality of edited areas after reprocessing.
Mesh export capabilities
The export tool capabilities have been extended for meshes, allowing you to export to different mesh formats, clip based on a specified extent, apply vertical shifts, use color lookup tables for texture correction, and maintain heights relative to their input spatial reference system.
Alignment enhancements
Alignment enhancements are described in the following subsections.
Gallery view
The image measurement tool now allows you to adjust the layout to one, four, or nine images simultaneously. This feature enables efficient placement of measurements and review of measurement suggestions.
Improved quality assurance and report
New metrics have been introduced to evaluate the quality of alignment runs. These metrics are accessible in the app through the QA tool and globe visualization, as well as in the alignment report.
Distributed image optimization
The image optimization process can now be submitted to a workspace, making it a distributable processes. Additionally, the tie point candidates generation has been integrated into the image optimization process. This enhancement significantly reduces the processing time of successive alignments.
Phi-Omega-Kappa rotation angle sequence support
You can now specify the rotation sequence for orientation angles when importing imagery data. This enhancement allows the direct import of additional camera systems, such as Vexcel camera systems, without needing to transform orientation values first.
Other improvements
Other general improvements are described in the following subsections.
Reduced time to update reconstruction results
Processing speed has been improved when updating reconstructions. You'll notice this improvement when specifying correction geometries to improve results or when requesting additional products after the initial processing, for example.
Optimized meshes for better streaming
You can now generate meshes with enhanced rendering performance, especially for mobile, web, and AR/VR applications. Meshes now also occupy less disk space.
Spatial reference picker
When importing or creating elements, you can now use the spatial reference from one of the existing elements in a project. When you select the existing element from the spatial reference drop-down menu, both the horizontal and vertical spatial references are inherited.
User experience improvements in the process manager
Processes create widgets in the process manager and are now grouped based on their processing state as follows:
Queue—The widgets from distributed processes that are being monitored, and local processes that are currently running, queued, or paused on the machine are listed.
Finished—A widget is moved from the Queue tab to the Finished tab once processing is completed.
Failed—Processes that fail are listed on the Failed tab.
An indicator next to the tab name indicates that there are changes that you have not reviewed. Click the tab to see what has changed; then remove the indicator from the tab.