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An Improved Quadrilateral Fitting Algorithm for the Water Column Contribution in Airborne Bathymetric Lidar Waveforms
Kai Ding1,2, Qingquan Li3,4, Jiasong Zhu5,6
1Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China. dingkai@szu.edu.cn.
Sensors (Basel, Switzerland)
|February 15, 2018
Summary
This study introduces an improved method for analyzing airborne bathymetric LiDAR waveforms using a novel quadrilateral function. The new approach enhances accuracy in retrieving water depths and bottom responses, reducing noise and unidentified waveforms.
Area of Science:
- Geomatics
- Remote Sensing
- Hydrography
Background:
- Airborne bathymetric LiDAR is crucial for mapping coastal and inland waters.
- Accurate processing of LiDAR waveforms is essential for reliable bathymetry.
- Existing methods for fitting water column contributions can be limited.
Purpose of the Study:
- To present an improved method for processing bathymetric LiDAR waveforms.
- To enhance the retrieval of water depth and bottom response accuracy.
- To evaluate the performance of a novel quadrilateral function for water column fitting.
Main Methods:
- A new waveform processing method combining Gaussian and quadrilateral functions.
- Fitting LiDAR waveforms using Gaussian functions for surface/bottom and a quadrilateral function for the water column.
- Testing the method on simulated and real bathymetric LiDAR datasets.
Main Results:
- The improved quadrilateral fitting algorithm demonstrated superior performance.
- Lower Root Mean Square Error (RMSE) in bathymetry estimates.
- Higher detection rates for water depth and bottom magnitude retrieval.
- Reduced noise and fewer unidentified waveforms compared to existing methods.
Conclusions:
- The proposed method offers improved accuracy and reliability for bathymetric LiDAR data processing.
- The novel quadrilateral function effectively models the water column contribution.
- This advancement contributes to more precise underwater topographic mapping.
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