联合机载LiDAR数据和潮汐数据自动提取潮位线

张良; 马洪超; 邬建伟

doi:10.11834/jrs.20120448

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联合机载LiDAR数据和潮汐数据自动提取潮位线
Utilization of LiDAR and tidal gauge data for automatic extracting high and low tide lines
2012年16卷第2期页码：405-416
纸质出版日期： 2012 ，
DOI： 10.11834/jrs.20120448

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[1]张良,马洪超,邬建伟.联合机载LiDAR数据和潮汐数据自动提取潮位线[J].遥感学报,2012,16(02):405-416.

Utilization of LiDAR and tidal gauge data for automatic extracting high and low tide lines[J]. Journal of Remote Sensing, 2012,16(2):405-416.
[1]张良,马洪超,邬建伟.联合机载LiDAR数据和潮汐数据自动提取潮位线[J].遥感学报,2012,16(02):405-416. DOI： 10.11834/jrs.20120448.

Utilization of LiDAR and tidal gauge data for automatic extracting high and low tide lines[J]. Journal of Remote Sensing, 2012,16(2):405-416. DOI： 10.11834/jrs.20120448.

摘要

首先

联合机载激光雷达（LiDAR）数据提取的海岸带数字表面模型（DSM）与验潮站数据提取的高、低潮面进行相交运算

生成"水陆二值图像"

然后对其以提取边缘的方式提取高、低潮线;针对LiDAR光束无法穿透水体导致低潮线附近DSM为无效值的缺陷

采取移动趋势面拟合法外推概略低潮线附近DSM

在此基础上重新提取更精确的低潮线。实验表明

该方法能在较少人工干预的情况下有效提取高、低潮线。

Abstract

First

a binary image containing only land and ocean pixels is generated by intersecting the LiDAR-derived shore digital surface model （DSM） and the ocean surface derived from tidal gauge data. Then a series of image processing algorithms are applied to extract preliminary high and low tide lines. Since LiDAR pulses can not penetrate into water

some regions near the low tide line may have invalid DSM values. In order to overcome this disadvantage

a mobile trend surface fitting method is used to extrapolate the DSM near low water lines

hence more accurate low tide lines can be extracted. Experimental results show that this method can extract high and low tide lines effectively with less manual labors.