DocumentCode
1028693
Title
Generating B-Scans of the Environment With a Conventional Sonar
Author
Kuc, Roman
Author_Institution
Yale Univ., New Haven
Volume
8
Issue
2
fYear
2008
Firstpage
151
Lastpage
160
Abstract
This paper examines the task of displaying more information about the environment using a conventional ranging sonar than is available in standard time-of-flight (TOF) maps. A conventional ranging sonar forms an environmental image that displays the information in the echo envelope, similar to a medical ultrasound image. The sonar performs rotational sector scans of simple objects and two complex environments containing various reflecting structures. In acquiring sonar data, we repeatedly reset the conventional sonar to generate a point process whose density relates to the echo amplitude. This point process is displayed as a grayscale image, called a brightness scan (B-scan), analogous to B-scans in medical ultrasound. We compare the information content of sonar B-scans to TOF maps for object classification and show B-scans to be richer. B-scan textures produced by rough surfaces and volumes containing random scatterers exhibit statistical invariance, similar to some organs within the body, suggesting the feasibility of automated classification. Image artifacts and means for their identification are discussed. The qualitative information present in sonar B-scans should lead to improved quantitative techniques for classifying objects.
Keywords
image classification; image texture; object recognition; sonar; ultrasonic imaging; B-scans; automated classification; brightness scan; environmental image; grayscale image; image texture; object classification; sonar; statistical invariance; time-of-flight maps; Biomedical imaging; Brightness; Displays; Gray-scale; Rough surfaces; Scattering; Sonar; Surface roughness; Surface texture; Ultrasonic imaging; Brightness scan (B-scan) image; object classification; robot navigation; sonar; spike processing;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2007.908242
Filename
4427204
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