Inverse Histogram-Based Clustering Approach to Seafloor Segmentation from Bathymetric Lidar Data
A current hindrance to the scientific use of available bathymetric lidar point clouds is the frequent lack of accurate and thorough segmentation of seafloor points. Furthermore, scientific end-users typically lack access to waveforms, trajectories, and other upstream data, and also do not have the t...
Main Authors: | Jaehoon Jung, Jaebin Lee, Christopher E. Parrish |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/18/3665 |
Similar Items
-
3D histogram of backscatter strength for seafloor substrates classification
by: JIN Shaohua, et al.
Published: (2018-01-01) -
An Object-Based Image Analysis Approach Using Bathymetry and Bathymetric Derivatives to Classify the Seafloor
by: Leo Koop, et al.
Published: (2021-01-01) -
Seafloor Geodesy From Repeated Multibeam Bathymetric Surveys: Application to Seafloor Displacement Caused by the 2011 Tohoku-Oki Earthquake
by: Toshiya Fujiwara, et al.
Published: (2021-05-01) -
SUPERVISED AUTOMATIC HISTOGRAM CLUSTERING AND WATERSHED SEGMENTATION. APPLICATION TO MICROSCOPIC MEDICAL COLOR IMAGES
by: Olivier Lezoray
Published: (2011-05-01) -
Evaluation of the Accuracy of Bathymetry on the Nearshore Coastlines of Western Korea from Satellite Altimetry, Multi-Beam, and Airborne Bathymetric LiDAR
by: Yeon Yeu, et al.
Published: (2018-09-01)