Sea surface small-area oil spill area detection system and method based on multi-sensor fusion
An area detection and small-area technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of long repeated observation period, failure to detect and alarm, and failure to image processing, etc., to achieve small impact on optics and weather conditions, and good application The effect of foreground and image stabilization
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Embodiment 1
[0051] Such as figure 1 Shown is an embodiment of the detection system for a small-scale oil spill area on the sea surface based on multi-sensing fusion of the present invention, including an infrared thermal imaging camera, a computing terminal, a displacement sensor for measuring the distance between the photographed object and the infrared thermal imaging camera, and The inclination sensor is used to measure the inclination angle of the infrared thermal imager to the ground. The infrared thermal imager is connected to the computing terminal with two-way signals. outside of the imager. In this embodiment, a signal conversion circuit is connected between the displacement sensor, the inclination sensor and the computing terminal, and the signal conversion circuit is used to convert an analog signal into a digital signal.
[0052] During the implementation of this embodiment, the image of the oil spill on the sea surface is taken by the infrared thermal imager and the optical ...
Embodiment 2
[0058] Such as Figure 2 to Figure 3 Shown is a specific embodiment of the method for detecting a small area of oil spilled area on the sea surface based on multi-sensing fusion of the present invention, including the following steps:
[0059] S10. Use the thermal imaging camera to capture the oil spill on the sea surface to obtain the original infrared image, and transmit it to the computing terminal; use the displacement sensor and the inclination sensor to detect the position information when the thermal imaging camera is shooting, and transmit it to the computing terminal;
[0060] S20. Perform grayscale processing, filtering processing, and sharpening processing on the original infrared image in step S10 to obtain a sharpened image containing oil spill information;
[0061] S30. Perform a threshold segmentation operation on the sharpened image in step S20 to obtain a binary image, where 0 represents the background area and 1 represents the oil spill area;
[0062] S40....
Embodiment 3
[0088] This embodiment is an application example of the detection method in Embodiment 2. The oil spill profile of the real sea surface was simulated in the laboratory of the Beihai Branch of the State Oceanic Administration, and an infrared thermal imager was used to collect sea surface images. By controlling the experimental illumination, air humidity, Variables such as surface wind speed, wave width, and water surface velocity can simulate real variables such as sea wind, sea fog, sea surface waves, and undercurrents in sunny, cloudy, and night environments on the real sea. In order to verify the effectiveness of the test on different types of oil spills, three oil samples with different viscosities and densities were selected: 20g petroleum crude oil, 20ml 85W-140 heavy oil, 20ml 0W-20 light oil, using the method in Example 2 Calculate the area calculation results of three oil spills under different environments. in:
[0089] Figure 7 The original thermal infrared image...
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