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Computational imaging and automated identification for aqueous environments
(Massachusetts Institute of Technology, 2011)
Sampling the vast volumes of the ocean requires tools capable of observing from a distance while retaining detail necessary for biology and ecology, ideal for optical methods. Algorithms that work with existing SeaBED AUV ...