Abstract
This paper presents a sonar specific methodology to detect and classify underwater unexploded ordnance (UXO) in the low resolution sonar data captured by the DIDSON US300. This technique, known as the Multiple-Aspect Fixed-Range Template Matching (MAFR-TM) algorithm, is designed to detect and classify a target of high characteristic impedance in an environment that contains similar shaped objects of low characteristic impedance. The MAFR-TM is based on the proven concept of template matching, which is a two-dimensional correlation between a reference image (template) and an image collected during field operations (source image). In the MAFR-TM algorithm, the template matching method is efficiently implemented in the wave number domain using two-dimensional Fast Fourier Transforms (2D-FFT) and wave number leakage is reduced with an optimized separable two-dimensional Kaiser window. Experimental results are provided to demonstrate the performance of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | MTS/IEEE Seattle, OCEANS 2010 |
| DOIs | |
| State | Published - Dec 1 2010 |
| Event | MTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States Duration: Sep 20 2010 → Sep 23 2010 |
Other
| Other | MTS/IEEE Seattle, OCEANS 2010 |
|---|---|
| Country | United States |
| City | Seattle, WA |
| Period | 9/20/10 → 9/23/10 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Ocean Engineering
Cite this
Multiple-aspect fixed-range template matching for the detection and classification of underwater unexploded ordnance in DIDSON sonar images. / Brisson, Lisa Nicole; Beaujean, Pierre Philippe; Negahdaripour, Shahriar.
MTS/IEEE Seattle, OCEANS 2010. 2010. 5664077.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multiple-aspect fixed-range template matching for the detection and classification of underwater unexploded ordnance in DIDSON sonar images
AU - Brisson, Lisa Nicole
AU - Beaujean, Pierre Philippe
AU - Negahdaripour, Shahriar
PY - 2010/12/1
Y1 - 2010/12/1
N2 - This paper presents a sonar specific methodology to detect and classify underwater unexploded ordnance (UXO) in the low resolution sonar data captured by the DIDSON US300. This technique, known as the Multiple-Aspect Fixed-Range Template Matching (MAFR-TM) algorithm, is designed to detect and classify a target of high characteristic impedance in an environment that contains similar shaped objects of low characteristic impedance. The MAFR-TM is based on the proven concept of template matching, which is a two-dimensional correlation between a reference image (template) and an image collected during field operations (source image). In the MAFR-TM algorithm, the template matching method is efficiently implemented in the wave number domain using two-dimensional Fast Fourier Transforms (2D-FFT) and wave number leakage is reduced with an optimized separable two-dimensional Kaiser window. Experimental results are provided to demonstrate the performance of the proposed approach.
AB - This paper presents a sonar specific methodology to detect and classify underwater unexploded ordnance (UXO) in the low resolution sonar data captured by the DIDSON US300. This technique, known as the Multiple-Aspect Fixed-Range Template Matching (MAFR-TM) algorithm, is designed to detect and classify a target of high characteristic impedance in an environment that contains similar shaped objects of low characteristic impedance. The MAFR-TM is based on the proven concept of template matching, which is a two-dimensional correlation between a reference image (template) and an image collected during field operations (source image). In the MAFR-TM algorithm, the template matching method is efficiently implemented in the wave number domain using two-dimensional Fast Fourier Transforms (2D-FFT) and wave number leakage is reduced with an optimized separable two-dimensional Kaiser window. Experimental results are provided to demonstrate the performance of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=78651268138&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651268138&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2010.5664077
DO - 10.1109/OCEANS.2010.5664077
M3 - Conference contribution
SN - 9781424443321
BT - MTS/IEEE Seattle, OCEANS 2010
ER -