title: Remote identification of a shipwreck site from MBES backscatter.
abstract: The method described attempts to remotely identify the shape of an anthropogenic object, such as a wreck of a modern vessel, using reflectivity data from Multi-Beam Echosounder (MBES) systems. In the beam domain, the backscatter strength values - geometrically and radiometrically corrected - are used to extract a large number of Gray Level Co-occurrence Matrix (GLCM) features with different input parameters. Principal Component Analysis (PCA) is applied in order to achieve dimensionality reduction whilst a K-means algorithm clusters as "shipwreck site" a large number of beams for each line. After the geo-referencing process, a K-nearest-neighbors (K-NN) technique is applied as a filter for possible misclassifications. Finally, the shape of the shipwreck site is defined from the georeferenced beams using the α-shape method, constructing an output compatible with Geographic Information Systems (GIS).
authors: Università degli Studi di Genova, Dip. di Informatica, Sistemistica e Telematica, Via Opera Pia 13, Genoa 16145, Italy. gmasetti@ccom.unh.edu
authors: Giuseppe
authors: G
authors: Masetti
authors: Brian
authors: B
authors: Calder
mesh_terms: D000059:Accidents; D000465:Algorithms; D001955:British Columbia; D016000:Cluster Analysis; D003661:Decision Support Techniques; D040362:Geographic Information Systems; D010140:Pacific Ocean; D025341:Principal Component Analysis; D058998:Remote Sensing Technology / Q000295:instrumentation / Q000379:methods*; D012767:Ships