Color is typically an important cue for classification purposes. However, use of trichromatic cameras underwater often leads to deceiving results due to 1) wavelength-dependent absorption of light by water and dissolved organic matter, and 2) broadband response of camera sensors. We are developing methods to
process underwater imagery in a probabilistic manner, utilizing known properties of a camera and spectra of main seafloor sediments.
Faculty: Prof. Yuri Rzhanov, Prof Jennifer Dijkstra
For more information contact Prof. Yuri Rzhanov
