Estimation of Sampling Interval in Terrestrial Laser Scanning Data with Neighboring Analysis
- Resource Type
- Conference
- Authors
- Chen, Maolin; Zhang, Xinyi; Liu, Xiangjiang; Ji, Cuicui; Zhao, Lidu
- Source
- 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Geoscience and Remote Sensing Symposium IGARSS , 2021 IEEE International. :8061-8064 Jul, 2021
- Subject
- Aerospace
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Histograms
Estimation error
Three-dimensional displays
Codes
Lasers
Vegetation mapping
Data processing
Sampling interval
terrestrial laser scanning
angular resolution
parameter estimation
- Language
- ISSN
- 2153-7003
Sampling interval is the angle between horizontally or vertically adjacent laser beams in terrestrial laser scanning (TLS). It decides point density and level of detail in TLS data, which further influence many steps in data processing, such as feature design and parameter setting. This paper focuses on the case when scanner setting is unknown and proposes an automatic method to estimate the sampling intervalin TLS data with only 3D coordinatesused. We randomly select several points from the scanning data and find their $k$ nearest neighboring points. Then horizontal and verticle sampling angle differences can be calculated betweeneach central point and its neighboring points. Histograms of the two types of sampling angle differences are constructed respectively. The average difference value in the interval with the second largest point number is calculated as the sampling interval. The test shows that the error is smaller than 0.001° and our method is robust for objects with different point distribution characteristic, such as vegetation and ground.