Riverbed sediment classification using multi-beam echo-sounder backscatter data

Journal of the Acoustical Society of America

Volumn 126, Issue 4, 2009, Pages 1724-1738

  Amiri Simkooei, Alireza ^a,b   Snellen, Mirjam ^a   Simons, Dick G ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC BACKSCATTER; BACKSCATTER DATA; BACKSCATTER INTENSITY; BACKSCATTER STRENGTH; BAYES DECISION RULES; CLASSIFICATION METHODS; CLASSIFICATION RESULTS; CORRELATION ANALYSIS; DEEP WATER; DISCRIMINATING POWER; ECHO SOUNDERS; HIGH FREQUENCY HF; HIGH RESOLUTION; INCIDENT ANGLES; K-DISTRIBUTION; MEAN-GRAIN SIZE; MULTI-BEAM; MULTIPLE HYPOTHESIS; NETHERLANDS; RIVERBED SEDIMENTS; ROUGH SURFACES; SHAPE PARAMETERS; SLOPE CORRECTIONS; STATISTICAL DESCRIPTIONS; STATISTICAL FLUCTUATIONS; VERY SHALLOW WATERS;

ACOUSTIC DEVICES; ACOUSTICS; ANGULAR DISTRIBUTION; BATHYMETRY; GAUSSIAN BEAMS; SEDIMENTOLOGY;

BACKSCATTERING;

ACOUSTICS; ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL MODEL; PARTICLE SIZE; POROSITY; PRIORITY JOURNAL; RIVER; SEDIMENT; SOUND PRESSURE;

EID: 70350503631     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.3205397     Document Type: Article

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