DocumentCode :
34402
Title :
Motion Error Influence on Segmentation and Classification Performance in SAS-Based Automatic Mine Countermeasures
Author :
Leier, Stefan ; Fandos, Raquel ; Zoubir, Abdelhak M.
Author_Institution :
Inst. of Telecommun., Tech. Univ. Darmstadt, Darmstadt, Germany
Volume :
40
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
57
Lastpage :
70
Abstract :
Synthetic aperture sonar (SAS) systems provide capabilities to construct high-resolution images of the seafloor and are, therefore, employed by state-of-the art systems for automatic detection and classification (ADAC) in mine countermeasurement applications. Typically, ADAC systems assume operation on well-focused SAS images. However, in practice, residual motion errors or other errors, e.g., a mismatch in the wave propagation speed, may still be present, leading to a degradation in the quality of SAS images. Consequently, it is of major interest to study the detection and classification behavior of an automatic system under the influence of residual motion and phase errors. First, we train our ADAC system using a database of well-focused SAS images. Subsequently, we use real sonar measurements from different sea trials to build a test database of SAS images where motion errors and sound-speed mismatches are artificially induced into the image reconstruction process to study the impact on segmentation, feature extraction, and classification rate. A relation between the image degradation and the individual tasks of the ADAC system is empirically demonstrated by assessing the image quality using a full-reference method. The obtained results illustrate a severe dependency of the ADAC system performance on the SAS image quality. At the same time, the results highlight the need for both image quality assessment schemes and robust segmentation and feature selection techniques, to improve the reliability of SAS-based target recognition systems under difficult conditions.
Keywords :
feature extraction; feature selection; image classification; image motion analysis; image reconstruction; image resolution; image segmentation; sonar imaging; sonar target recognition; synthetic aperture sonar; ADAC; SAS image quality degradation; SAS-based automatic mine countermeasurement; SAS-based target recognition system reliability improvement; automatic detection and classification; feature extraction; feature selection technique; full-reference method; image quality assessment scheme; image reconstruction process; image segmentation; motion error; phase error; seafloor high-resolution image construction; sonar measurement; sound-speed mismatching; synthetic aperture sonar system; Apertures; Image quality; Image reconstruction; Image segmentation; Motion segmentation; Synthetic aperture sonar; Automatic detection and classification (ADAC); micronavigation; motion errors and sound-speed errors; quality assessment; synthetic aperture sonar (SAS);
fLanguage :
English
Journal_Title :
Oceanic Engineering, IEEE Journal of
Publisher :
ieee
ISSN :
0364-9059
Type :
jour
DOI :
10.1109/JOE.2014.2303718
Filename :
6766807
Link To Document :
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