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      GEOWAY AT

      As a professional aerial triangulation software for frame imagery, GEOWAY AT (Aerial Triangulation Software)  integrates key techniques appropriate for various aerial data sources based on imagery features, and lowers the dependency on high-quality original data sources. GEOWAY AT is characterized by broad applicability, superior automation, fast processing and great reliability.


        Distortion correction


        Supports various distortion correction modes for non-metric cameras.

        Supports multiple distortion models to correct distortion parameters to the maximum extent  to reduce image distortion.

        Provides airborne calibration techniques to refine distortion parameters.



        Intelligent aerial triangulation

        GEOWAY AT reduces data preparation time. Tedious manual tasks, like arraying original images in advance and adding seed points, are not required.

        Generates image networks automatically based on initial POS data or flight route information.

        Supports integrated matching with gross error exclusion and adjustment modules.

        Fig.1 Diagram of automatic tie-points (green: within flight strip; red: among flight strip)

        Flexible adjustment calculation

        GEOWAY AT uses our own adjustment technique. It does not depend on PATB and Bingo techniques.

        Supports multiple adjustment modes, including GCP-only mode, POS-only mode, and a combined mode.

        GEOWAY AT takes advantage of GPS and IMU data to conduct offset and drift corrections, improving positioning accuracy to the maximum extent.

        Fig.2 Interface of combined adjustment

        Broad data compatibility

        Supports imagery produced from metric and non-metric cameras.

        Does not require the initial POS data or its accuracy.

        Fewer restrictions on image quality, rotation angle size, terrain textures and other factors than other systems.


        Fast processing speed

        Multi-process multi-core parallel processing for maximum use of hardware resources.

        More than five times better performance when compared with conventional aerial triangulation software.


        High-degree of automation

        Automatic matching comes with strong adaptability for areas with weak texture, such as water body, vegetation, or desert regions.

        Provides functions for automatic gross error checking and exclusion, capable of real-time detection, location and fixing for all types of gross errors.

        Predicts points from the first control point.


        Fig.1 Automatic matching tie-points

        High reliability

        GEOWAY AT improves stability of an image network through high tie-point matching degree.

        Generates massive and evenly distributed tie-points, and ensures the accuracy within a pixel for improved network accuracy.

        Provides a robust adjustment algorithm to ensure the accuracy and reliability of the adjustment results.

        Improve the accuracy and reliability of the results with integrated handling of object-space and image-space errors.


        Fig.2 Interface of quality checking and controlling

        Case #1: Processing UAV data with control network adjustment

        Survey area

        Located in Shanxi province, plane-dominated area, about 7KM2

        Data info

        18 flight strips, 359 images taken from Canon digital camera. 4.32GB

        Auxiliary data

        33 GCPs collected from field work, initial POS data

        Product requirement

        Meet the accuracy requirement at a scale of 1:1000

        Hardware

        Memory: 8GB, CPU: 12-core

        Processing times

        Tie-points matching: 50min; adjustment: 15min

        Accuracy

        Horizontal RMS error: 0.246m; vertical RMS error: 0.166m

        Case #2: Processing UCLp data with combined adjustment

        Survey area

        Located in Shandong province, hills-dominated area, about 230KM2

        Data info

        10 flight strips, 551 aerial images, 160GB

        Auxiliary data

        9 GCPs collected from field work, initial POS data

        Product requirement

        Meet the accuracy requirement at a scale of 1:2000

        Hardware

        Memory: 8GB, CPU: 4-core

        Processing times

        Tie-points matching: 7hrs; adjustment: 1hrs



        Fig. Diagram of aerial images and GCPs


        Fig. Diagram of automatic tie-points

        Fig. Report of combined adjustment

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