In this paper a new procedure for the computation of seabed altitude information from side-scan sonar data is presented. Although side-scan sensors do not provide direct measures of seabed elevation, their images are directly related to seabed topography. Using a mathematical model for the sonar ensonification process, approximations to the seabed characteristics can be inferred from the sonar image. The problem is however severely under-constrained, in the sense that not all the parameters involved in the image formation process can be directly determined from the side-scan image. To overcome this difficulty, we propose the utilization of a multi-resolution expectation-maximization framework to select the most probable parameters from the solution space. At every iteration the estimated solution is used to simulate a side-scan image of the observed scene, which is then be compared to the side-scan image actually observed; solution parameters are then refined using gradient-descent optimization. The process is repeated until convergence is achieved. © 2005 IEEE.
|Title of host publication||Oceans 2005 - Europe|
|Number of pages||4|
|Publication status||Published - 2005|
|Event||Oceans 2005 - Europe - Brest, France|
Duration: 20 Jun 2005 → 23 Jun 2005
|Conference||Oceans 2005 - Europe|
|Period||20/06/05 → 23/06/05|