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Volume 45 Issue 10
Oct.  2023
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Article Contents
Ji Xue,Dong Zhen,Zhang Jingyu, et al. Identification and correction of airborne laser bathymetry intensity data in AGC compensated abnormal zone[J]. Haiyang Xuebao,2023, 45(10):159–167 doi: 10.12284/hyxb2023133
Citation: Ji Xue,Dong Zhen,Zhang Jingyu, et al. Identification and correction of airborne laser bathymetry intensity data in AGC compensated abnormal zone[J]. Haiyang Xuebao,2023, 45(10):159–167 doi: 10.12284/hyxb2023133

Identification and correction of airborne laser bathymetry intensity data in AGC compensated abnormal zone

doi: 10.12284/hyxb2023133
  • Received Date: 2023-02-26
  • Rev Recd Date: 2023-06-01
  • Available Online: 2023-11-06
  • Publish Date: 2023-10-30
  • Airborne Laser Bathymetry (ALB) as an established surveying procedure is certainly operated in blue-green region (532 nm) for penetrating the water column to collect depth. Alongside geometric information accepted widely, ALB typically record the radiometric properties (backscattering intensity) about sensed targets and assist with accurate strips registration, fine ground (sediment) cover classification, and advanced geometric modelling. However, due to the design limitations of Automatic Gain Control (AGC), there is a delay in gain value adjustment, particularly prominent in island and coastal areas with more high-return and low-return targets such as exposed rocks and water, which throws the issue of intensity compensation abnormality into stark relief. In response to this issue, a local weighted intensity correction method based on bidirectional movement is designed. Firstly, effective intensity is extracted by index sharing and elevation information. Then, the emission angles are used to divide the scan line and serve as the judgment unit, and the Kolmogorov-Smirnov test is used to identify the abnormal area. Finally, intensity correction is performed by joint weighting of adjacent scan lines and neighborhood intensity, where the joint weighting can ensure the intensity details while eliminating the deviation from the neighborhood intensity. In addition, a unique bidirectional moving strategy is introduced to weaken the decline of strength correction accuracy caused by insufficient correction accumulation. Experiments have illustrated that this approach can effectively solve the AGC compensation anomaly problem, and compared to the pre-correction, the average absolute percentage error of the corrected intensity data decreased by about 0.27, the root mean square error decreased by about 693, and the intensity deviation of the abnormal area was controlled within 26 DN (Digital Number), thus obtaining a high-quality intensity image.
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