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Sea Floor Classification with Satellite Data and Airborne Lidar Bathymetry

机译：利用卫星数据和机载激光雷达测深法进行海床分类

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While land maps of vegetation cover and substrate types exist, similar underwater maps are rare or almost non-existing. We developed the use of airborne bathymetric lidar mapping and high resolution satellite data to a combined method for shallow sea floor classification. A classification accuracy of about 80% is possible for six classes of substrate and vegetation, when validated against field data taken from underwater video recordings. The method utilizes lidar data directly (topography, slopes) and as means for correction of image data for water depth and turbidity. In this paper we present results using WorldView-2 imagery and data from the HawkEye II lidar system in a Swedish archipelago area.

机译：尽管存在植被覆盖和基质类型的陆地地图，但类似的水下地图很少见或几乎不存在。我们将机载测深激光雷达测绘和高分辨率卫星数据的使用开发为一种用于浅海底分类的组合方法。如果根据从水下视频录像中获得的现场数据进行验证，六类基质和植被的分类精度大约为80％。该方法直接利用激光雷达数据（地形，坡度），并作为校正水深和浊度图像数据的手段。在本文中，我们使用WorldView-2影像和来自瑞典群岛地区HawkEye II激光雷达系统的数据展示了结果。

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《Ocean sensing and monitoring V》|2013年|87240B.1-87240B.16|共16页
会议地点 Baltimore MD(US)
作者
H. Michael Tulldahl; Petra Philipson; Hans Kautsky; Sofia A. Wikstroem;
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作者单位

Swedish Defence Research Agency, Box 1165, SE-581 11 Linkoeping, Sweden;

Brockmann Geomatics Sweden AB, Torshamnsgatan 39, SE-164 40 Kista, Sweden;

Department of Systems Ecology, Stockholm University, SE-106 91 Stockholm, Sweden;

AquaBiota Water Research, Loejtnantsgatan 25, SE-115 50 Stockholm, Sweden;

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正文语种 eng
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Surf zones; lidar; WorldView-2; pansharpening; sun glints; bathymetry; underwater optics; random forest;

机译：冲浪区；激光雷达WorldView-2；锐化太阳闪闪发光测深仪水下光学随机森林;

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1. Soft classification of mixed seabed objects based on fuzzy clustering analysis using airborne LIDAR bathymetry data [J] . Ramu Narayanan, Gunho Sohn, Heungsik B. Kim, Journal of Applied Remote Sensing . 2011,第Null期

机译：基于机载LIDAR测深数据的模糊聚类分析的混合海床目标软分类
2. Water-land classification using three-dimensional point cloud data of airborne LiDAR bathymetry based on elevation threshold intervals [J] . Zhao Xinglei, Wang Xiaoyang, Zhao Jianhu, Journal of Applied Remote Sensing . 2019,第3期

机译：基于高程阈值间隔的防空激光雷达浴浴三维点云数据的水土分类
3. CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS [J] . T. Kogut, M. Weistock, K. Baku?a International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2019,第4期

机译：基于不同特征向量的随机森林算法与空机激光乐河沐浴族数据分类
4. Sea Floor Classification with Satellite Data and Airborne Lidar Bathymetry [C] . H. Michael Tulldahl, Petra Philipson, Hans Kautsky, Conference on ocean sensing and monitoring V . 2013

机译：海底分类与卫星数据和空气传播的潮汐浴室
5. Soft seabed classification using Airborne LiDAR Bathymetry data. [D] . Narayanan, Ramasamy. 2011

机译：使用机载LiDAR水深测量数据对软海底进行分类。
6. Evaluation of the Accuracy of Bathymetry on the Nearshore Coastlines of Western Korea from Satellite Altimetry Multi-Beam and Airborne Bathymetric LiDAR [O] . Yeon Yeu, Jurng-Jae Yee, Hong Sik Yun, 2018

机译：从卫星测高仪多波束和机载测深仪LiDAR评估朝鲜西部近岸海岸线的测深仪精度
7. Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing [O] . Ohlendorf S., Müller A., Heege T., 2011

机译：使用多光谱卫星数据和标准化的基于物理的数据处理，进行测深图制图和海床分类
8. Coastal Hydrographics Techniques: Data Report for Support of the Airborne Bathymetry System at CERF (Coastal Engineering Research Center) FRF (Field Research Facility) Duck, North Carolina [R] . Estep, L., Hsu, L., Arnone, R. 1988

机译：沿海水文学技术：支持CERF（沿海工程研究中心）空中水深测量系统的数据报告FRF（实地研究设施）北卡罗来纳州鸭子

Sea Floor Classification with Satellite Data and Airborne Lidar Bathymetry

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