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Monitoring underwater habitats is a vital part of observing the condition of the environment. The detection and mapping of underwater vegetation, especially seagrass has drawn the attention of the research community as early as the nineteen…

计算机视觉与模式识别 · 计算机科学 2019-03-04 Md Moniruzzaman , S. M. Shamsul Islam , Paul Lavery , Mohammed Bennamoun , C. Peng Lam

Small unmanned aircraft systems (sUAS) are becoming prominent components of many humanitarian assistance and disaster response (HADR) operations. Pairing sUAS with onboard artificial intelligence (AI) substantially extends their utility in…

计算机视觉与模式识别 · 计算机科学 2022-01-26 Daniel Davila , Joseph VanPelt , Alexander Lynch , Adam Romlein , Peter Webley , Matthew S. Brown

Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service. Modern precipitation nowcasting algorithms rely on the extrapolation of observations by…

Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sensing (RS) data, Artificial Intelligence (AI) techniques, and…

计算机视觉与模式识别 · 计算机科学 2024-05-01 Francesca Razzano , Pietro Di Stasio , Francesco Mauro , Gabriele Meoni , Marco Esposito , Gilda Schirinzi , Silvia L. Ullo

Satellite-based onboard data processing is crucial for time-sensitive applications requiring timely and efficient rapid response. Advances in edge artificial intelligence are shifting computational power from ground-based centers to…

Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, each is specific to a particular problem, with few standard…

计算机视觉与模式识别 · 计算机科学 2024-07-09 Makkunda Sharma , Fan Yang , Duy-Nhat Vo , Esra Suel , Swapnil Mishra , Samir Bhatt , Oliver Fiala , William Rudgard , Seth Flaxman

Line of sight satellite systems, unmanned aerial vehicles, high-altitude platforms, and microwave links that operate on frequency bands such as Ka-band or higher are extremely susceptible to rain. Thus, rain fade forecasting for these…

机器学习 · 计算机科学 2021-10-05 Aidin Ferdowsi , David Whitefield

High energy solar flares and coronal mass ejections have the potential to destroy Earth's ground and satellite infrastructures, causing trillions of dollars in damage and mass human suffering. Destruction of these critical systems would…

机器学习 · 计算机科学 2021-10-18 Erik Larsen

Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent in satellite data, most of the current object classification…

计算机视觉与模式识别 · 计算机科学 2015-09-14 Saikat Basu , Sangram Ganguly , Supratik Mukhopadhyay , Robert DiBiano , Manohar Karki , Ramakrishna Nemani

In real-time and high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture images that are subsequently transmitted to ground to create an updated map of an area of interest. Such maps provide valuable information…

网络与互联网体系结构 · 计算机科学 2023-07-18 Israel Leyva-Mayorga , Marc M. Gost , Marco Moretti , Ana Pérez-Neira , Miguel Ángel Vázquez , Petar Popovski , Beatriz Soret

Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most socially and economically vulnerable people on the planet. Thus,…

Due to its cloud-penetrating capability and independence from solar illumination, satellite Synthetic Aperture Radar (SAR) is the preferred data source for large-scale flood mapping, providing global coverage and including various land…

计算机视觉与模式识别 · 计算机科学 2024-06-07 Jie Zhao , Zhitong Xiong , Xiao Xiang Zhu

Coastal flooding poses increasing threats to communities worldwide, necessitating accurate and hyper-local inundation forecasting for effective emergency response. However, real-world deployment of forecasting systems is often constrained…

Satellite imagery solutions are widely used to study and monitor different regions of the Earth. However, a single satellite image can cover only a limited area. In cases where a larger area of interest is studied, several images must be…

The flooding extent area in a river valley is related to river gauge observations. The higher the water elevation, the larger the flooding area. Due to synthetic aperture radar\textquoteright s (SAR) capabilities to penetrate through…

机器学习 · 计算机科学 2024-10-14 Monika Gierszewska , Tomasz Berezowski

Relevant comprehension of flood hazards has emerged as a crucial necessity, especially as the severity and the occurrence of flood events intensify with climate changes. Flood simulation and forecast capability have been greatly improved…

图像与视频处理 · 电气工程与系统科学 2022-11-18 Thanh Huy Nguyen , Anthéa Delmotte , Christophe Fatras , Peter Kettig , Andrea Piacentini , Sophie Ricci

Rainfall precipitation maps are usually derived based on the measurements collected by classical weather devices, such as rain gauges and weather stations. This article aims to show the benefits obtained by opportunistic rainfall…

Saturation affects a significant rate of images recorded by the Atmospheric Imaging Assembly on the Solar Dynamics Observatory. This paper describes a computational method and a technological pipeline for the de-saturation of such images,…

天体物理仪器与方法 · 物理学 2015-03-10 Richard A Schwartz , Gabriele Torre , Anna Maria Massone , Michele Piana

Where are the Earth's streams flowing right now? Inland surface waters expand with floods and contract with droughts, so there is no one map of our streams. Current satellite approaches are limited to monthly observations that map only the…

Fully re-orientable small spacecraft are now supported by commercial technologies, allowing them to point their instruments in any direction and capture images, with short notice. When combined with improved onboard processing, and…

机器人学 · 计算机科学 2025-06-24 Sreeja Roy-Singh , Alan P. Li , Vinay Ravindra , Roderick Lammers , Marc Sanchez Net