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Nowadays, ocean observatory networks, which gather and provide multidisciplinary, long-term, 3D continuous marine observations at multiple temporal spatial scales, play a more and more important role in ocean investigations. In this paper, we try to develop a portable smart device with online fish detection and tracking strategies by ARM7 microprocessor for ocean observatory networks, combining the...
Autonomous Underwater Vehicles (AUVs) are important platform for oceanographic survey. AUVs have been widely applied to many fields, such as the ocean research, oil and gas exploitation, mineral resources investigation, fishing and military. People can obtain important ocean information by segmenting, classifying and recognizing sonar image of AUV. So studying side-scan sonar image is significant...
Underwater scene search turns out to be one of the most challenging topics in the underwater image analysis. In this paper, we present one underwater scene search scheme combined with similarity measure and sparse representation. The color histogram is first adopted to classify the candidate image patches for each kind of the underwater scene. At the same time, the feature similarity (FSIM) considers...
Underwater image enhancement is one of the most essential and fundamental tasks in ocean investigations recent years. In this paper, we made an attempt to develop one adaptive underwater image enhancement approach with the help of the virtual retina model and the image quality assessment (IQA). The virtual retina model, which yields comparatively high correlation with the human vision system, is first...
In this paper, we propose a novel approach for SSS registration based on modified phase correlation, which is capable of handling low resolution and noise. The modified phase correlation combines threshold segmentation with phase correlation to carry out side-scan sonar (SSS) image registration. Image registration aims to transform images obtained from different views to the same coordinate. Underwater...
In this paper, we propose a new structure that combines Grey Prediction with Line of Sight (GP-LOS) to predict yaw angle in order to achieve path following for autonomous underwater vehicle (AUV). The proposed structure can be described by two stages. First, we use grey prediction to predict the position coordinates of the next time. Second, taking advantage of the principles of the Line of Sight,...
In this paper, we present one underwater image stitching model combined with the Scale Invariant Feature Transform (SIFT) and the wavelet fusion. Poor visibility in the sea and the variations in the illumination, viewpoints, etc., have been comprehensively taken into consideration for image matching. Wavelet fusion is then made full use of to undertake the underwater image mosaic. It is shown in the...
With applications in the academic, military, and maintenance in oil industrial Autonomous Underwater Vehicles (AUVs) are increasing important. AUV is a kind of complicated equipment, its motion control is extremely crucial. At present, centralized control method used by most AUVs share many deficiencies: complex controller, large computation, difficulties in system maintenance and upgrading, etc....
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