期刊
REMOTE SENSING OF ENVIRONMENT
卷 206, 期 -, 页码 260-274出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2017.12.035
关键词
Lidar; Bathymetry; Waveform; Classification; Acoustic backscatter
资金
- University of New Hampshire/National Oceanic and Atmospheric Administration Joint Hydrographic Center [NA10NOS4000073, NA15NOS4000200]
- Tyco fellowship
Airborne Lidar Bathymetry (ALB) surveys are traditionally used for measuring depths in shallow nearshore and back-bay areas. In this paper, we present a novel ALB waveform processing procedure, namely bottom return residual analysis, for bottom characterization. Waveform features obtained from the bottom return residual analysis are used in a supervised classification approach, i.e. Support Vector Machine, to differentiate between: 1) sand and rock bottoms and subsequently, 2) fine and coarse sand bottoms. The classification procedure was tested on ALB survey data collected with an Optech SHOALS-1000T ALB system that covers a similar to 7 km(2) area within 1 km from shore in the western Gulf of Maine, USA. The bottom classification results, when compared to ground-truth measurements, indicate a 96% overall accuracy for sand and rock classification and 86% overall accuracy for fine and coarse sand classification. Results of ALB-based bottom classification are compared with interpretations of a multibeam echosounder acoustic backscatter mosaic collected from the survey area.
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