DocumentCode
2709057
Title
Measuring the complexity of the ocean floor
Author
Sams, T. ; Stage, B. ; Agerkvist, F.T. ; Christensen, T.
Author_Institution
Danish Defence Res. Establ., Copenhagen, Denmark
Volume
2
fYear
2000
fDate
2000
Firstpage
576
Abstract
In an attempt to classify the complexity of the ocean floor, we suggest a neural network-based algorithm which predicts a pixel based on its surroundings. The mean square of the difference between the original sidescan sonar image and the predicted image is then used as a measure of the complexity of the image
Keywords
bathymetry; geophysical signal processing; military computing; naval engineering computing; neural nets; seafloor phenomena; sonar imaging; mean square difference; neural network-based algorithm; ocean floor complexity measurement; pixel prediction; predicted image; sidescan sonar image; Feedforward neural networks; Joining processes; Marine vehicles; Neural networks; Nonlinear filters; Oceans; Optical propagation; Prediction algorithms; Sea measurements; Sonar measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location
Sydney, NSW
ISSN
1089-3555
Print_ISBN
0-7803-6278-0
Type
conf
DOI
10.1109/NNSP.2000.890136
Filename
890136
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