Abstract
In order to effectively monitor important sea areas, one of the key issues is the detection of small dynamic targets such as ships. Besides monitoring the hull itself, the monitoring of small targets can also be achieved by detecting ship wakes, which means the sea image with clear texture feature is required. This paper firstly reviews the multiscale retinex (MSR) method, commonly used to enhance the image contrast. Then, it proposes a novel contrast enhancement algorithm base on the subband-decomposed multiscale retinex (SDMSR) method. Experimental results show that our proposed method can make a remarkable enhancement effect for ocean remote sensing images with clouds and whitecap, etc.
Highlights
Since there are abundant material resources in the ocean, how to develop, utilize and protect ocean resources has been a hot issue in many countries
In addition to monitoring the hull itself, the monitoring of small targets can be achieved by detecting ship wakes, which means the sea image with clear texture feature is required
The image processing is necessary since visible light remote sensing image can be influenced by the factors such as clouds, rain, fog, and light
Summary
Since there are abundant material resources in the ocean, how to develop, utilize and protect ocean resources has been a hot issue in many countries. Because of high spatial resolution, visible light remote sensing method is an important way to monitor small targets in the sea. As an image enhancement algorithm based on the human visual system, the retinex method performs well in edge enhancement, color fidelity, and dynamic range compression, and can achieve adaptive enhancement for multiple types of images. We applied the SDMSR method to ocean remote sensing image enhancement, and the image enhancement effect is remarkable in most cases. The image enhancement effect is not ideal while the ocean remote sensing image contains clouds, whitecap, etc. We propose a modified SDMSR method which can effectively enhance the ocean remote sensing image with clouds and whitecap.
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