Multisensor integration for underwater scene classification

Sharad Malik, N. Nandhakumar

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A new approach is developed for automated classification of seafloor scenes using sonar sensors and optical imagery. The sonar image yields backscatter estimates, while the optical stereo imagery yields surface roughness parameters. This information is combined and used in a composite roughness model of high-frequency bottom backscattering phenomenon. The model provides estimates of material density ratio and sound velocity ratio for the seafloor. These parameters serve as physically meaningful features and enable classification of the seafloor. Experiments on real data illustrate the classification of imaged seafloor as sandy sediment or sediment rich in manganese nodules.

Original languageEnglish (US)
Pages (from-to)847-852
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
StatePublished - 1991
EventConference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics - Charlottesville, VA, USA
Duration: Oct 13 1991Oct 16 1991

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture


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