In this paper, we describe a in-house are subsequently loaded into a Geographical Information developed software system for manmade object detection System (GIS). This enhances the value of the information as and the geo-localization based on sidescan sonar image. they can then be viewed and queried in conjunction with otherThe system contains the process of detecting objects in a useful information like bathymetry, currents and seabed sidescan sonar image, outlining the detected objects in a sediment types in an interactive map-based display over the mosaic image which is formed by mosaicing several Internet. The object information saved in the GIS can be swathes of sonar images, and saving the detected objects in served as a reference for new objects or environment change a geo-information data base. The automatic object detection in future survey. detection algorithm is based on the reflection strength (highlights), shadows and their properties. Information on II. SYSTEM STRUCTURE detected objects such as the estimated size, shape and their geo-locations are retrieved by the analysis. The localizedThe system consists of modules for automatic object objects and ancillary information are subsequently loaded detection, image mosaicing, and outlining of detected objects into a Geographical Information System (GIS). This on the mosaic image as shown in Fig. 1. Two types of enhances the value of the information as they can then be information are of interest in the CAD/CAC application; each viewed and queried in conjunction with other useful represents a distinct theme for the GIS: information like bathymetry, currents and seabed 1. Outlines and attributes of detected sonar targets; sediment types in an interactive map-based display over 2. Geo-referenced image obtained from a mosaic of several the Internet. sonar images.Target detection and extraction of attributes are handled I. INTRODUCTION within the standalone CAD/CAC toolbox. Targets are represented as geo-referenced polygons with associated The development of AUV technologies and the improved attributes to form a vector-based GIS theme. The attributes are sonar imaging technology have enhanced the use of sidescan stored in a relational database table with one record for each sonar (SSS) images in mine surveillance / detection efforts. target detected. The AUV for mine countermeasure has become a large The raw sonar image files have to undergo a process to research area, where computer aided detection and computer locate each sonar ping accurately in a geographical position, aided classification (CAD/CAC) of objects from SSS images taking into account the navigation and altitude parameters of play an important rule [1]-[4]. Such a system makes it possible the tow-fish used to acquire the sonar image. Several geoto quickly and automatically detect manmade objects from referenced sonar images, representing different contiguous SSS images, and is a key step towards the eventual capability survey swathes, can then be stitched together to form a of automatically ...
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