Scientific Literature An Attention-Enhanced Network with Joint Dehazing and Retinex-Based Enhancement for Underwater Images
Research Abstract & Technology Focus
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Physical prior-guided SAM adaptation for underwater scene segmentation
Underwater image segmentation is fundamental to marine exploration and autonomous underwater vehicle navigation, yet its accuracy is severely compromised by wavelength-selective absorption and scat...
An improved hypergraph convolutional network based on multi-channel fusion signals for semi-supervised fault diagnosis of autonomous underwater vehicle thrusters
Abstract Autonomous underwater vehicle (AUV), as a highly efficient tool for ocean exploration, relies on thrusters whose fault diagnosis is a key aspect to ensure safe navigation. However, single-...
Adaptive energy-efficient and secure clustering-based routing architecture for underwater wireless sensor networks in marine environmental and ecosystem monitoring
Introduction Reliable long-term monitoring of coral reefs and other marine ecosystems is limited by the harsh underwater environment, restricted battery capacity of sensor nodes, and the high energ...
ResAlignNet: A data-driven approach for INS/DVL alignment
• A data-driven approach specifically optimized with residual connections for deep and stable INS/DVL alignment. • The method achieves effective alignment using only INS and DVL sensors. It require...
Improving rare-class detection in deep-sea imagery via generative augmentation with stable diffusion
Megabenthos play a critical role in maintaining deep-sea ecosystem stability, making accurate detection important for deep-sea conservation. However, the high cost of deep-sea exploration and the l...
Frequently Asked Questions (FAQ)
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What is the core focus of the research titled 'An Attention-Enhanced Network with Joint Dehazing and Retinex-Based Enhancement for Underwater Images'?
This literature focuses on: Underwater images suffer from severe wavelength-dependent light absorption and scattering, and turbidity due to suspended particles, degrading visual quality for applications in autonomous underwater vehicles (AUVs), marine biology, archaeology, a...
What other academic literature is closely related to 'An Attention-Enhanced Network with Joint Dehazing and Retinex-Based Enhancement for Underwater Images'?
Yes, highly correlated activity was mapped. An entry titled 'Physical prior-guided SAM adaptation for underwater scene segmentation' discusses this: Underwater image segmentation is fundamental to marine exploration and autonomous underwater vehicle navigation, yet its accuracy is severely compr...
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Associated Media Narrative
- China says 'world's first' offshore wind-powered underwater data center has entered full operation, houses 2,000 servers — 24 megawatt subsea AI facility uses ocean water for passive cooling and offshore wind for power
- Advanced underwater imaging using Samsung’s Ocean Mode
- Scientists stunned as volcano cloud destroys methane in the atmosphere
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