Target identification in complex maritime scenes

Sanderson, James G.; Teal, M.K.; Ellis, Tim

doi:10.1049/cp:19970936

Cited by 6 publications

(4 citation statements)

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“…They are related to the division of labor status of a country in the process of globalization and to the overall national strength and economic competitiveness of a country. To become a strategic industry must also have three basic characteristics: First, can quickly and effectively absorb innovation results, and access to new production functions associated with new technologies [4,5,6]. There is a huge market potential, is expected to obtain sustained high-speed growth.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization Model of Marine Industry Strategic Adjustment Under Complex Maritime Conditions Based on Ant Colony Algorithm

Shen

2018

Polish Maritime Research

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This article seeks to analyze the factors constraining the development of strategic marine emerging industries and the deficiencies in China’s strategic marine emerging industry development policies. Learn from the successful experiences of overseas strategic marine emerging industry development policies. We will study and construct a policy framework for the development of strategic marine emerging industries in the new era, guided by the scientific concept of development and enhanced by the capacity of independent innovation. Provide policy recommendations for actively promoting the development of strategic marine emerging industries. At the same time, it provides theoretical and methodological reference for the formulation and implementation of China’s strategic marine emerging industry policies. On the basis of reviewing relevant theories of industrial policy, this article first defines China’s strategic emerging industries and clarifies the connotation of China’s strategic marine emerging industry development policies. Then, the paper conducts detailed analysis on the development policies of strategic marine emerging industries at home and abroad, and summarizes the experience of overseas strategic development policies for marine emerging industries. Finally, combining the above-mentioned comprehensive analysis, with the guidance of the scientific concept of development, the development strategy and concrete development policy of China’s strategic emerging industries in the ocean are proposed.

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Section: Introductionmentioning

confidence: 99%

Research on Optimization Model of Marine Industry Strategic Adjustment Under Complex Maritime Conditions Based on Ant Colony Algorithm

Shen

2018

Polish Maritime Research

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“…Radar system, however, is ineffective against small objects close to the vessel [6]. In addition, for objects without hot parts present (e.g., buoys, surface rocks), near infrared images get unsuitable for detection either [16]. Therefore, detecting small surface objects from visual images is highly desired.…”

Section: Introductionmentioning

confidence: 99%

“…There has been growing interest in surface targets identification, as most standard computer vision algorithms for traffic scene are ineffective for maritime conditions [2,16]. To avoid collisions of surface vessels, Sanderson et al have proposed some maritime targets identification algorithms [16,17], using statistical characteristics of the sea and motions of the targets.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Detection of Small Surface Objects Using Weather Effects

et al. 2011

Computer Vision – ACCV 2010

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Abstract. Small surface objects, usually containing important information, are difficult to be identified under realistic atmospheric conditions because of weather degraded image features. This paper describes a novel algorithm to overcome the problem, using depth-aware analysis. Because objects-participating local patches always contain low intensities in at least one color channel, we detect suspicious small surface objects using the dark channel prior. Then, we estimate the approximate depth map of maritime scenes from a single image, based on the theory of perspective projection. Finally, using the estimated depth map and the atmospheric scattering model, we design spatial-variant thresholds to identify small surface objects from noisy backgrounds, without contrast enhancement. Experiments show that the proposed method has real-time implementation, and it can outperform the state-of-the-art algorithms on the detection of distant small surface objects with only a few pixels.

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