Title :
Multi-spectral image analysis for rescue target detection
Author :
Xin Ran; Baojia Xiao
Author_Institution :
Department of Navigation, Merchant Marine College, Shanghai Maritime University, China
Abstract :
The prompt search and rescue of lifesaving target is very important in the case that a marine casualty occurs. To detect the small target in the wide views over the sea and under complex sea environment, the research on object detection on the sea surface based on multi-spectral analysis and machine vision is presented in this paper. Firstly a set of multi-spectral imaging camera system is introduced and the pre-processing method suitable for this task are proposed. Then the spectral features of targets and sea surface are extracted by analyzing visual light spectra and near-infrared spectra, which can distinguish the ships or survivors from islands or sea wave. The main purpose of this task is to detect lifeboats or survivors on the sea by analyzing the multi-spectral information, which can propose a target detection method based on image analysis and machine vision to find the survivor in the case that a marine casualty occurs, and then help the rescuer find the survivor more efficiently.
Keywords :
"Cameras","Reflectivity","Sea surface","Feature extraction","Surface treatment","Reconstruction algorithms","Navigation"
Conference_Titel :
Navigation World Congress (IAIN), 2015 International Association of Institutes of
DOI :
10.1109/IAIN.2015.7352257