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相关论文: Imaging and Classification Techniques for Seagrass…

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Seagrass meadows play a crucial role in marine ecosystems, providing benefits such as carbon sequestration, water quality improvement, and habitat provision. Monitoring the distribution and abundance of seagrass is essential for…

计算机视觉与模式识别 · 计算机科学 2025-05-16 Jannik Elsäßer , Laura Weihl , Veronika Cheplygina , Lisbeth Tangaa Nielsen

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecological data is prohibitive in terms of time and cost, thus…

计算机视觉与模式识别 · 计算机科学 2020-09-22 Scarlett Raine , Ross Marchant , Peyman Moghadam , Frederic Maire , Brett Kettle , Brano Kusy

Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles equipped with machine learning algorithms can help to…

计算机视觉与模式识别 · 计算机科学 2023-09-07 Scarlett Raine , Ross Marchant , Brano Kusy , Frederic Maire , Tobias Fischer

Wetlands constitute critical ecosystems that support both biodiversity and human well-being; however, they have experienced a significant decline since the 20th century. Back in the 1970s, researchers began to employ remote sensing…

计算机视觉与模式识别 · 计算机科学 2025-04-22 Shuai Yuan , Xiangan Liang , Tianwu Lin , Shuang Chen , Rui Liu , Jie Wang , Hongsheng Zhang , Peng Gong

Underwater surveys provide long-term data for informing management strategies, monitoring coral reef health, and estimating blue carbon stocks. Advances in broad-scale survey methods, such as robotic underwater vehicles, have increased the…

计算机视觉与模式识别 · 计算机科学 2024-11-19 Scarlett Raine , Frederic Maire , Niko Suenderhauf , Tobias Fischer

Purpose of review: This paper presents a review of the current state of the art in remote sensing based monitoring of forest disturbances and forest degradation from optical Earth Observation data. Part one comprises an overview of…

计算机视觉与模式识别 · 计算机科学 2017-03-23 Manuela Hirschmugl , Heinz Gallaun , Matthias Dees , Pawan Datta , Janik Deutscher , Nikos Koutsias , Mathias Schardt

Marine plastic pollution is an emerging environmental problem since it pollutes the ocean, air and food whilst endangering the ocean wildlife via the ingestion and entanglements. During the last decade, an enormous effort has been spent on…

图像与视频处理 · 电气工程与系统科学 2023-11-15 Oktay Karakuş

Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability. Achieving food security while deploying water in a sustainable…

计算机视觉与模式识别 · 计算机科学 2021-08-13 Chitra Agastya , Sirak Ghebremusse , Ian Anderson , Colorado Reed , Hossein Vahabi , Alberto Todeschini

Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles, unmanned underwater vehicles, and in situ ocean sensor networks. Despite being an important sensor for monitoring…

计算机视觉与模式识别 · 计算机科学 2017-02-14 Huimin Lu , Yujie Li , Yudong Zhang , Min Chen , Seiichi Serikawa , Hyoungseop Kim

The recent explosive growth of small satellite operations driven primarily from an academic or pedagogical need, has demonstrated the viability of commercial-off-the-shelf technologies in space. They have also leveraged and shown the need…

Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since the early days of seafaring, MS has been a critical…

Drone-based remote sensing combined with AI-driven methodologies has shown great potential for accurate mapping and monitoring of coral reef ecosystems. This study presents a novel multi-scale approach to coral reef monitoring, integrating…

计算机视觉与模式识别 · 计算机科学 2025-02-26 Matteo Contini , Victor Illien , Julien Barde , Sylvain Poulain , Serge Bernard , Alexis Joly , Sylvain Bonhommeau

Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g. fisheries, oil-gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional…

Hyperspectral sensors enable the study of the chemical properties of scene materials remotely for the purpose of identification, detection, and chemical composition analysis of objects in the environment. Hence, hyperspectral images…

计算机视觉与模式识别 · 计算机科学 2019-02-12 Utsav B. Gewali , Sildomar T. Monteiro , Eli Saber

Sonar images are relevant for advancing underwater exploration, autonomous navigation, and ecosystem monitoring. However, the progress depends on data availability. The scarcity of publicly available, well-annotated sonar image datasets…

The speed of response by search and rescue teams at sea is of vital importance, as survival may depend on it. Recent technological advancements have led to the development of more efficient systems for locating individuals involved in a…

计算机视觉与模式识别 · 计算机科学 2025-02-17 Juan P. Martinez-Esteso , Francisco J. Castellanos , Jorge Calvo-Zaragoza , Antonio Javier Gallego

Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys,…

计算机视觉与模式识别 · 计算机科学 2023-05-11 Guangliang Cheng , Yunmeng Huang , Xiangtai Li , Shuchang Lyu , Zhaoyang Xu , Qi Zhao , Shiming Xiang

Corals are the primary habitat-building life-form on reefs that support a quarter of the species in the ocean. A coral reef ecosystem usually consists of reefs, each of which is like a tall building in any city. These reef-building corals…

计算机视觉与模式识别 · 计算机科学 2022-12-09 Jiageng Zhong , Ming Li , Hanqi Zhang , Jiangying Qin

Fully automatic large-scale land cover mapping belongs to the core challenges addressed by the remote sensing community. Usually, the basis of this task is formed by (supervised) machine learning models. However, in spite of recent growth…

计算机视觉与模式识别 · 计算机科学 2020-04-29 Michael Schmitt , Jonathan Prexl , Patrick Ebel , Lukas Liebel , Xiao Xiang Zhu

Coral reefs are among the most diverse ecosystems on our planet, and are depended on by hundreds of millions of people. Unfortunately, most coral reefs are existentially threatened by global climate change and local anthropogenic pressures.…

计算机视觉与模式识别 · 计算机科学 2023-09-25 Jonathan Sauder , Guilhem Banc-Prandi , Anders Meibom , Devis Tuia
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