Collin, Antoine; Long, Bernard; Archambault, Phillippe; Kuus, Pim; Clarke, John Hughes; Sohn, Gunbo; Miller, John
(2007).
Statistical classification methodology of SHOALS 3000 backscatter to mapping coastal benthic habitats.
In: IEEE International Geoscience and Remote Sensing Symposium - IGARSS'07, 23-28 juillet 2007, Barcelone, Espagne.
Résumé
The Scanning Hydrographic Operational Airborne
LiDAR Survey (SHOALS) consists of a bathymetric LiDAR
system which provides high precision measurements of water
depth. Even though the acquisition is focused on depth accuracy,
the return signal, i.e. waveform, contains other relevant
information because of integration signatures from the water
surface, the water column and the sea-bed. This paper highlights
the benthic characterization in extracting statistical parameters
derived from the bottom backscatter. In applying multivariate
analysis (K-means), it is significantly proven that signals derived
from habitat, described as statistically homogeneous throughout
ground-truth analysis, are (1) similar within an intra-habitat
view, while they are (2) different between themselves.
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