Abstract
The problem addressed is that of providing a model-based system to interpret sonar data from an autonomous or remotely controlled vehicle instrumentation, to aid navigation, improve sea floor mapping techniques, identify objects, simulate acoustic images for survey and analysis, or to aid the design of sonar systems. Analytic tools have been developed to segment and classify seabed and shallow seismic image textures, remove multiple reflections and detect objects on or close to the seabed. These have been used to provide an efficient data compression scheme for sonar images to increase the transmission rate of images over an acoustic communications link. The sonar interpretation problem is placed within a model-based framework. This paper presents the conceptual sonar simulation system architecture, outlines the visualisation of the three dimensional sea floor model, describes the sonar system simulation and references image analysis tools available for texture segmentation and object detection.
| Original language | English |
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| Title of host publication | Proceedings of the IEEE Symposium on Autonomous Underwater Vehicle Technology |
| Pages | 317-324 |
| Number of pages | 8 |
| Publication status | Published - 1996 |
| Event | 1996 IEEE Symposium on Autonomous Underwater Vehicle Technology - Monterey, CA, USA Duration: 2 Jun 1996 → 6 Jun 1996 |
Conference
| Conference | 1996 IEEE Symposium on Autonomous Underwater Vehicle Technology |
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| City | Monterey, CA, USA |
| Period | 2/06/96 → 6/06/96 |