New main version 10 is available from 10 December 2019 for all Inpho software products, including UASMaster. To meet the evolving needs of a rapidly growing aerial imagery market, Inpho version 10 offers a new and efficient matching strategy in MATCH-AT which significantly improves the performance in aerial triangulation and enhances the productivity in large photogrammetry projects.
New Matching Strategy in MATCH-AT
As part of the new matching strategy in MATCH-AT, the matching in high overlapping areas is performed with new tie-point extraction algorithms leading to stronger connected images. This increases the quality of image orientation and ensures a reliable dense-matching.
Using this matching strategy, it is possible to observe the quality of the sensor platform which means qualifying the multi-head systems and navigation observation in aerial triangulation. The new strategy can enhance the performance in aerial triangulation significantly compared to former strategies. Through this special matching all heads can be processed in one aerial triangulation and not only based on the nadir images. Additionally, MATCH-AT version 10 provides a better usage of multi-core systems during the image matching.
News in Multi-Head workflow
Inpho version 10 introduces a first version of unique multi-head bundle block adjustment. The GNSS/IMU observations are used to automatically derive a multi-head platform configuration. The configuration is used as additional observation in the adjustment.
Optionally, each camera in the platform can be calibrated separately considering the derived constraints. This feature allows a drift correction on the platform, which leads to higher accuracy and more stability in orientation.
Highlights in UASMaster 10
Higher performance in camera calibration
Considering the rapid growth of the UAS market and implementation of new sensors with less known parameters for the orientation, more performance is required in camera calibration, especially for large projects. UASMaster 10 offers the advantages of adjustment with camera calibration leading to a significantly improved performance by reducing the number of iterations in calibration.
Smart detection matching strategy
In the exhaustive matching strategy, each image is tried to be matched to all possible and available images in the block. Using the new and smart strategy (AutoDetect in Pair-builder mode) the neighbouring images are selected automatically based on GPS and IMU observations. This leads to efficient matching of even large projects.
Improved quality in point cloud and meshes
Due to the improvements in 3D reconstruction, the quality of final products (e.g. point clouds and meshes) are considerably higher than the former versions. The point clouds are ready to be used in Trimble Clarity.
Interested? Users without a valid maintenance as well as new users should contact Sales to update their license or purchase a new one.