BayesStripAlign

High performance strip adjustment for airborne, UAV, mobile and Sonar

Perform LiDAR strip alignment faster and more accurately than existing software using advanced, fully automatic algorithms. No need to preprocess, classify or filter the data. From small scale UAV and mobile point clouds to very large scale airborne surveys, even topo-bathymetric data and Sonar, align anything! Also outputs QC maps, images, reports, logs, can use GCP, and much more...

Bayesmap Solutions

Le Rove, FR

Description

Input

- LAS/LAZ 1.4 or ASCII separate flight lines, projected
- SBET/SOL/TRJ/POF/ASCII position & orientation, projected or geodetic, flexible
- [GCP file] [parameters]

Output

- Corrected LAS/LAZ strips
- QC maps, images, stats, logs
- Updated PO and corrections

Features

- Fast point cloud registration compared to ICP or feature matching
- No flight line geometry restrictions, use all swath overlaps
- No classification required: robust to vegetation, viewpoint, changes, noise
- Effective relative accuracy improvement AND minimal absolute error
- Integrated boresight, lever arm and internal geometry calibration correction components help minimize biases
- High frequency trajectory/attitude drift corrections up to 2 Hz
- Automatic boresight and internal distortion calibration option without correction
- Multi-channel capability for scanners such as Riegl *1560
- Compatible with circular/elliptical and multi-beam scanners
- Large-scale and complex projects: use groups and match to reference datasets (such as 3DEP tiles)
- Useful LiDAR and PO files scanning module to check time sync and data consistency
- Fast QC with GCP, user friendly reports
- 3D error analysis, vector images, scatterplots, stats
- Z-differences, point density, hill shade, roughness, elevation maps
- Advanced corrections such as blending and warping available
- Simple command-line interface allows integration into complex workflows
- Multi-platform and cloud-compatible
- Flexible floating licensing system
- No dependencies - run on its own, simple to install

Coming soon…

New 3D registration algorithm able to register vegetation, vertical walls, overhangs and multiple surfaces, allowing accurate alignment of mobile mapping datasets, or complex UAV scenes

Specifications

Hardware/software requirements: Use of GPU

N

Processor

64-bit

Stand-alone

Yes

HD [GB]

32

List software environment, e.g. Microstation

none

RAM [GB]

4

Stereo Display

N

Other: Support

email support included in subscription

Distinguishing features

fast, robust, automatic

Training

Y

Typical applications

point cloud accuracy improvement

Files and Registering: Input formats

LAS LAZ ASCII

Output formats

LAS LAZ ASCII JPEG TIFF

Stitching multiple scans

Y

Geo-referencing

Y

Automatic Target Detection

Y

Pre-processing and Automatic Filtering: Removal of individual outliers

Y

Removal of vegetation

Y

Bare ground DEM generation

N

Image matching facilities

Y

Removal of buildings

N

Interoperability: Integration with other data types

Position/Orientation data (SBET, POF, SOL, TRJ, ASCII) and LAS/LAZ point clouds

General: Year of initial introduction

2016

Year of last update

2024

Source of Point Clouds

Airborne Lidar, Outdoor TLS

Modules

UAV, Airborne, Sonar, Mobile

Analysis: Aspect and slope

Y

Automatically Generated Products: Regular Grid DEMs

Y

Boundary detection of solids

N

Building roofs

N

Break lines

N

Building footprints

N

Contour Lines

N

Cross sections

Y

TIN

N