Underwater target detection with hyperspectral imagery for search and rescue missions

Date

2018-04-19

Author

Eken, Isa Cem
Çetin, Yasemin

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Fast and precise target detection is an issue in underwater object detection applications such as search and rescue missions. Hyperspectral imaging could be effective in determining different elements in a region thanks to its ability to provide detailed spectral information. Utilization of this rich spectral information calls for the analysis of spectral differences of objects on water surface (dry/wet) and underwater conditions. 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. © (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Subject Keywords

Hyperspectral, Underwater, Target detection, Search and rescue

URI

https://hdl.handle.net/11511/58022

DOI

https://doi.org/10.1117/12.2304637

Conference Name

24th SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

I. C. Eken and Y. Çetin, “Underwater target detection with hyperspectral imagery for search and rescue missions,” Orlando, FL, 2018, vol. 10644, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/58022.