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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…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Matteo Contini , Victor Illien , Julien Barde , Sylvain Poulain , Serge Bernard , Alexis Joly , Sylvain Bonhommeau

Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface temperatures, along with various spatiotemporal…

Applications · Statistics 2025-11-18 Soham Sarkar , Arnab Hazra

The rich biodiversity of coral reefs in Indonesian waters represents a valuable asset that must be preserved. Rapid climate change and uncontrolled human activities have caused significant degradation of coral reef ecosystems, including…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Fadhil Muhammad , Alif Bintang Elfandra , Iqbal Pahlevi Amin , Alfan Farizki Wicaksono

Supervised machine learning methods for geological mapping via remote sensing face limitations due to the scarcity of accurately labelled training data that can be addressed by unsupervised learning, such as dimensionality reduction and…

Machine Learning · Computer Science 2024-09-24 Sandeep Nagar , Ehsan Farahbakhsh , Joseph Awange , Rohitash Chandra

Coral reefs are increasingly subjected to major disturbances threatening the health of marine ecosystems. Substantial research underway to develop intervention strategies that assist reefs in recovery from, and resistance to, inevitable…

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…

Computer Vision and Pattern Recognition · Computer Science 2022-12-09 Jiageng Zhong , Ming Li , Hanqi Zhang , Jiangying Qin

Since coral reef ecosystems face threats from human activities and climate change, coral conservation programs are implemented worldwide. Monitoring coral health provides references for guiding conservation activities. However, current…

Computer Vision and Pattern Recognition · Computer Science 2025-12-18 Xinlei Shao , Hongruixuan Chen , Kirsty Magson , Jiaqi Wang , Jian Song , Jundong Chen , Jun Sasaki

Coral reefs are rapidly declining under anthropogenic pressures (e.g., climate change), creating an urgent need for scalable and automated monitoring. Progress in data-driven coral analysis, however, is constrained by the scarcity of…

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.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-25 Jonathan Sauder , Guilhem Banc-Prandi , Anders Meibom , Devis Tuia

With inspiration from Random Forests (RF) in the context of classification, a new clustering ensemble method---Cluster Forests (CF) is proposed. Geometrically, CF randomly probes a high-dimensional data cloud to obtain "good local…

Methodology · Statistics 2013-06-07 Donghui Yan , Aiyou Chen , Michael I. Jordan

The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor buoys. These approaches often fail to capture the full…

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…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Shuai Yuan , Xiangan Liang , Tianwu Lin , Shuang Chen , Rui Liu , Jie Wang , Hongsheng Zhang , Peng Gong

The decline of the number of newly discovered mineral deposits and increase in demand for different minerals in recent years has led exploration geologists to look for more efficient and innovative methods for processing different data…

Machine Learning · Computer Science 2021-12-07 Hojat Shirmard , Ehsan Farahbakhsh , R. Dietmar Muller , Rohitash Chandra

As long-endurance and seafloor-resident AUVs become more capable, there is an increasing need for extended, real-time interpretation of seafloor imagery to enable adaptive missions and optimise communication efficiency. Although offline…

Computer Vision and Pattern Recognition · Computer Science 2025-09-09 Cailei Liang , Adrian Bodenmann , Sam Fenton , Blair Thornton

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Alzayat Saleh , Issam H. Laradji , Dmitry A. Konovalov , Michael Bradley , David Vazquez , Marcus Sheaves

Coral reefs support numerous marine organisms and are an important source of coastal protection from storms and floods, representing a major part of marine ecosystems. However coral reefs face increasing threats from pollution, ocean…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Julio Jerison E. Macrohon , Gordon Hung

Due to climatic changes, excessive grazing, and deforestation, semi-arid and arid ecosystems are vulnerable to desertification and land degradation. As aridity increases, vegetation cover often self-organizes into spatial patterns before…

Populations and Evolution · Quantitative Biology 2026-04-27 David Pinto-Ramos , Marcel Gabriel Clerc , Abdelkader Makhoute , Mustapha Tlidi

Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have greatly improved the performance of image clustering. To…

Computer Vision and Pattern Recognition · Computer Science 2022-09-27 Qinglin Li , Guoping Qiu

Change detection in heterogeneous multitemporal satellite images is a challenging and still not much studied topic in remote sensing and earth observation. This paper focuses on comparison of image pairs covering the same geographical area…

Computer Vision and Pattern Recognition · Computer Science 2017-02-13 Luigi Tommaso Luppino , Stian Normann Anfinsen , Gabriele Moser , Robert Jenssen , Filippo Maria Bianchi , Sebastiano Serpico , Gregoire Mercier

Coral reefs are fast-changing and complex ecosystems that are crucial to monitor and study. Biological hotspot detection can help coral reef managers prioritize limited resources for monitoring and intervention tasks. Here, we explore the…

Robotics · Computer Science 2024-02-05 Daniel Yang , Levi Cai , Stewart Jamieson , Yogesh Girdhar
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