In our study, we investigated the effect of water column to the target spectrum with two water column correction models and evaluated the results obtained with these models in two detection algorithms. The results show that the methodology enhances underwater object detection performance. The materials used for the study are selected to be typical in search and rescue missions such as metal, cotton fabric with different colors and denim to evaluate the effect of these cases on the detectability of targets for such scenarios.
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İsa Cem Eken, Yasemin Yardimci Çetin, "Underwater target detection with hyperspectral imagery for search and rescue missions," Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106441Z (8 May 2018);