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The temporal and spatial analysis of river dynamics is a key factor for studying and understanding human impacts on floodplains. To assess the changes taking place, it is necessary to have high-resolution images with a large spatial…

Signal Processing · Electrical Eng. & Systems 2026-03-26 Pierre Audisio , Barbara Belletti , Nelly Pustelnik

In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of deployment. Based on recordings from seven contact microphones…

The sustainable management of the Qaraaoun Reservoir, the largest surface water body in Lebanon located in the Bekaa Plain, depends on reliable monitoring of its storage volume despite frequent sensor malfunctions and limited maintenance…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Ali Ahmad Faour , Nabil Amacha , Ali J. Ghandour

The typical point cloud sampling methods used in state estimation for mobile robots preserve a high level of point redundancy. This redundancy unnecessarily slows down the estimation pipeline and may cause drift under real-time constraints.…

Robotics · Computer Science 2024-04-24 Pavel Petracek , Kostas Alexis , Martin Saska

Accurate and continuous monitoring of river water levels is essential for flood forecasting, water resource management, and ecological protection. Traditional hydrological observation methods are often limited by manual measurement errors…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Kayathri Vigneswaran , Hugo Retief , Jai Clifford Holmes , Mariangel Garcia Andarcia , Hansaka Tennakoon

Tree height estimation serves as an important proxy for biomass estimation in ecological and forestry applications. While traditional methods such as photogrammetry and Light Detection and Ranging (LiDAR) offer accurate height measurements,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Grace Colverd , Jumpei Takami , Laura Schade , Karol Bot , Joseph A. Gallego-Mejia

Water is a key component of life, the natural environment and human health. For monitoring the conditions of a water body, the chlorophyll a concentration can serve as a proxy for nutrients and oxygen supply. In situ measurements of water…

Computer Vision and Pattern Recognition · Computer Science 2019-07-02 Philipp M. Maier , Sina Keller

Object pose estimation underwater allows an autonomous system to perform tracking and intervention tasks. Nonetheless, underwater target pose estimation is remarkably challenging due to, among many factors, limited visibility, light…

Sentinel-1, the Synthetic Aperture Radar (SAR) mission operated by the European Space Agency (ESA) as part of the Copernicus program, provides Free and Open Data with global coverage, transforming our ability to monitor subtle changes in…

Signal Processing · Electrical Eng. & Systems 2023-07-28 Manoochehr Shirzaei

The fresh water reservoirs are one of the main power resources of Pakistan.These water reservoirs are in the form of Tarbela Dam, Mangla Dam, Bhasha Dam,and Warsak Dam. To estimate the current power capability of the Dams, the statistical…

Robotics · Computer Science 2019-02-07 Sajid Ullah , Waseem Abdullah

Object extraction from remote sensing images has long been an intensive research topic in the field of surveying and mapping. Most existing methods are devoted to handling just one type of object and little attention has been paid to…

Computer Vision and Pattern Recognition · Computer Science 2015-10-28 Zhongbin Li , Wenzhong Shi , Qunming Wang , Zelang Miao

Effective hydrological modeling and extreme weather analysis demand precipitation data at a kilometer-scale resolution, which is significantly finer than the 10 km scale offered by standard global products like IMERG. To address this, we…

Machine Learning · Computer Science 2025-07-03 Chugang Yi , Minghan Yu , Weikang Qian , Yixin Wen , Haizhao Yang

We present a local and transferable machine learning approach capable of predicting the real-space density response of both molecules and periodic systems to external homogeneous electric fields. The new method, SALTER, builds on the…

Chemical Physics · Physics 2023-07-19 Alan M Lewis , Paolo Lazzaroni , Mariana Rossi

Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural…

Methodology · Statistics 2022-05-25 Johannes N. Hansen , Edward T. A. Mitchard , Stuart King

Dielectric wetness sensors are used in agriculture to detect the presence of water on foliage and to predict the risk of disease development. The measured electrical signal has a base level drift that skews the alerts. We propose a method…

Signal Processing · Electrical Eng. & Systems 2021-09-20 Jean-Yves Baudais , Melen Leclerc , Christophe Langrume

Transparent liquid manipulation in robotic pouring remains challenging for perception systems: specular/refraction effects and lighting variability degrade visual cues, undermining reliable level estimation. To address this challenge, we…

Signal Processing · Electrical Eng. & Systems 2026-02-12 Hongyu Deng , He Chen

Satellite altimetry, which measures water level with global coverage and high resolution, provides an unprecedented opportunity for a wide and refined understanding of the changing tides in the coastal area, but the sampling frequency is…

Applications · Statistics 2023-05-31 Ruo-Qian Wang , Behzad Golparvar , Morgan Mark

Precipitation plays a critical role in the Earth's hydrological cycle, directly affecting ecosystems, agriculture, and water resource management. Accurate precipitation estimation and prediction are crucial for understanding climate…

Computer Vision and Pattern Recognition · Computer Science 2025-04-16 Zhenyu Yu , Hanqing Chen , Mohd Yamani Idna Idris , Pei Wang

Heavy rain removal from a single image is the task of simultaneously eliminating rain streaks and fog, which can dramatically degrade the quality of captured images. Most existing rain removal methods do not generalize well for the heavy…

Computer Vision and Pattern Recognition · Computer Science 2021-04-19 Dac Tung Vu , Juan Luis Gonzalez , Munchurl Kim

Current Synthetic Aperture Radar (SAR)-based flood detection methods face critical limitations that hinder operational deployment. Supervised learning approaches require extensive labeled training data, exhibit poor geographical…

Applications · Statistics 2025-10-15 Narumasa Tsutsumida , Tomohiro Tanaka , Nifat Sultana