Designated Area Persistent Monitoring Strategies for Hybrid Underwater Profilers

Zhou, Puzhe; Yang, Canjun; Wu, Shijun; Zhu, Yushi

doi:10.1109/joe.2019.2945071

Cited by 19 publications

(4 citation statements)

References 35 publications

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“…The underwater image restoration method takes into account different imaging characteristics, but it is hard to calculate too many imaging parameters. Zhou et al [15] proposed multicolor components and light attenuation (MCLA), which utilizes adaptive background light estimation, depth-map enhancement, and transmission map computation to effectively restore color, detail, and visibility in underwater images. Hou et al [16] introduced the illumination channel sparsity prior (ICSP) guided variational framework for nonuniform illumination underwater image restoration, leveraging the illumination channel sparsity prior and a variational model with L0 norm term, constraint term, and gradient term to enhance the quality of images.…”

Section: Underwater Image Restoration Methodsmentioning

confidence: 99%

Multi-feature Learning Adaptive Network for Underwater Image Enhancement

Wang,

Li,

Zhu

2024

JERR

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Underwater image enhancement faces variety of challenges owing to the diversity of underwater scenes (viewed as water types) and the rich multi-frequency information. To deal with these challenges, this paper proposes a multi-feature learning adaptive underwater image enhancement network comprising an adaptive module and a dual-layer synchronous enhancement network. First, we design an adaptive module which enables the determination of water type inside the model and eliminates the negative effect of water type diversity by building water type related features. Then, the model learns high-frequency and low-frequency features through a dual-layer synchronous enhancement network to extract more comprehensive information. Finally, the outputs of the dual-layer network are merged to obtain more realistic underwater enhanced images. Numerous experiments have shown that the proposed method outperforms the comparison method for visual perception and assessment metrics.

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Section: Underwater Image Restoration Methodsmentioning

confidence: 99%

Multi-feature Learning Adaptive Network for Underwater Image Enhancement

Wang,

Li,

Zhu

2024

JERR

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“…Song et al [14] developed a dynamic surface decoupling control (DSDC) algorithm based on the active disturbance rejection control (ADRC) for an underwater glider, which reduced overshoot and settling time. Zhou et al [15] proposed designated area persistent monitoring strategies for hybrid underwater profilers, which was verified by simulations and sea trials. Adaptive robust sliding mode control of an underwater glider with input constraints for virtual mooring was proposed by Zhou et al [16], which incorporated model uncertainties, environmental disturbances and limited dynamic range of actuators.…”

Section: Introductionmentioning

confidence: 93%

Vertical Motion Control of an Underwater Glider with a Command Filtered Adaptive Algorithm

Yao

et al. 2022

JMSE

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Underwater gliders are widely used in oceanic observation, which are driven by a hydraulic buoyancy regulating system and a movable mass. Better motion performance can help us to accomplish observation tasks better. Therefore, a command filtered adaptive algorithm with a detailed system dynamic model is proposed for underwater gliders in this paper. The dynamic model considers seawater density variation, temperature variation and hull deformation according to dive depth. The hydraulic pump model and the movable mass dynamic are also taken into account. An adaptive nonlinear control strategy based on backstepping technique is developed to compensate the uncertainties and disturbances in the control system. To deal with the command saturation and calculation of derivatives in the backstepping process, command filtered method is employed. The stability of the whole system is proved through the Lyapunov theory. Comparative simulations are conducted to verify the effectiveness of the proposed controller. The results demonstrate that the proposed algorithm can improve the motion control performance for underwater gliders under uncertainties and disturbances.

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“…Typical operational modes of underwater gliders include virtual moorings (station-keeping) [87,88], sustained occupations of sections [81], and as survey tools in limited-duration process studies [89]. The schematic diagrams of the operational modes are shown in Figure 6.…”

Section: Underwater Glidersmentioning

confidence: 99%

Ocean Observation Technologies: A Review

Lin

Yang

2020

Chin. J. Mech. Eng.

Self Cite

106

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Covering about three quarters of the surface area of the earth, the ocean is a critical source of sustenance, medicine, and commerce. However, such vast expanse in both surface area and depth, presents myriad observing challenges for researchers, such as corrosion, attenuation of electromagnetic waves, and high pressure. Ocean observation technologies are progressing from the conventional single node, static and short-term modalities to multiple nodes, dynamic and long-term modalities, to increase the density of both temporal and spatial samplings. Although people's knowledge of the oceans has been still quite limited, the contributions of many nations cooperating to develop the Global Ocean Observing System (GOOS) have remarkably promoted the development of ocean observing technologies. This paper reviews the typical observing technologies deployed from the sea surface to the seafloor, and discusses the future trend of the ocean observation systems with the docking technology and sustained ocean energy.

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Designated Area Persistent Monitoring Strategies for Hybrid Underwater Profilers

Cited by 19 publications

References 35 publications

Multi-feature Learning Adaptive Network for Underwater Image Enhancement

Multi-feature Learning Adaptive Network for Underwater Image Enhancement

Vertical Motion Control of an Underwater Glider with a Command Filtered Adaptive Algorithm

Ocean Observation Technologies: A Review

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