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Uncertainty quantification (UQ) is essential for assessing the reliability of Earth observation (EO) products. However, the extensive use of machine learning models in EO introduces an additional layer of complexity, as those models…

Machine Learning · Computer Science 2024-12-10 Yuanyuan Wang , Qian Song , Dawood Wasif , Muhammad Shahzad , Christoph Koller , Jonathan Bamber , Xiao Xiang Zhu

While designing sustainable and resilient urban built environment is increasingly promoted around the world, significant data gaps have made research on pressing sustainability issues challenging to carry out. Pavements are known to have…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 Maryam Hosseini , Fabio Miranda , Jianzhe Lin , Claudio Silva

Mobile deployment of facial age estimation requires models that balance predictive accuracy with low latency and compact size. In this work, we present MobileAgeNet, a lightweight age-regression framework that achieves an MAE of 4.65 years…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Arun Kumar , Aswathy Baiju , Radu Timofte , Dmitry Ignatov

Accurate building instance segmentation and height classification are critical for urban planning, 3D city modeling, and infrastructure monitoring. This paper presents a detailed analysis of YOLOv11, the recent advancement in the YOLO…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Mahmoud El Hussieni , Bahadır K. Güntürk , Hasan F. Ateş , Oğuz Hanoğlu

Accurate assessment of atmospheric nitrogen dioxide (NO$_2$) and sulfur dioxide (SO$_2$) is essential for understanding climate-air quality interactions, supporting environmental policy, and protecting public health. Traditional monitoring…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Prasanjit Dey , Soumyabrata Dev , Bianca Schoen-Phelan

Cities play an important role in achieving sustainable development goals (SDGs) to promote economic growth and meet social needs. Especially satellite imagery is a potential data source for studying sustainable urban development. However, a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Yanxin Xi , Yu Liu , Tong Li , Jintao Ding , Yunke Zhang , Sasu Tarkoma , Yong Li , Pan Hui

Environment mapping is an important computing task for a wide range of smart city applications, including autonomous navigation, wireless network operations and extended reality environments. Conventional smart city mapping techniques, such…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Rafayel Mkrtchyan , Armen Manukyan , Hrant Khachatrian , Theofanis P. Raptis

Earth observation (EO) foundation models have emerged as an effective approach to derive latent representations of the Earth system from various remote sensing sensors. These models produce embeddings that can be used as analysis-ready…

Machine Learning · Computer Science 2025-11-21 Julia Peters , Karin Mora , Miguel D. Mahecha , Chaonan Ji , David Montero , Clemens Mosig , Guido Kraemer

Natural disasters demand rapid damage assessment to guide humanitarian response. Here, we investigate whether medium-resolution Earth observation images from the Copernicus program can support building damage assessment, complementing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Olivier Dietrich , Merlin Alfredsson , Emilia Arens , Nando Metzger , Torben Peters , Linus Scheibenreif , Jan Dirk Wegner , Konrad Schindler

Climate change is intensifying human heat exposure, particularly in densely built urban centers of the Global South. Low-cost construction materials and high thermal-mass surfaces further exacerbate this risk. Yet scalable methods for…

Computer Vision and Pattern Recognition · Computer Science 2026-01-19 Steffen Knoblauch , Ram Kumar Muthusamy , Hao Li , Iddy Chazua , Benedcto Adamu , Innocent Maholi , Alexander Zipf

Beyond the immediate biophysical benefits, urban trees play a foundational role in environmental sustainability and disaster mitigation. Precise mapping of urban trees is essential for environmental monitoring, post-disaster assessment, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 In Seon Kim , Ali Moghimi

Building change detection is essential for monitoring urbanization, disaster assessment, urban planning and frequently updating the maps. 3D structure information from airborne light detection and ranging (LiDAR) is very effective for…

Computer Vision and Pattern Recognition · Computer Science 2022-04-28 Ritu Yadav , Andrea Nascetti , Yifang Ban

Spatially consistent and up-to-date maps of human settlements are crucial for addressing policies related to urbanization and sustainability, especially in the era of an increasingly urbanized world.The availability of open and free…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 Christina Corbane , Vasileios Syrris , Filip Sabo , Panagiotis Politis , Michele Melchiorri , Martino Pesaresi , Pierre Soille , Thomas Kemper

Age estimation is a challenging task that has numerous applications. In this paper, we propose a new direction for age classification that utilizes a video-based model to address challenges such as occlusions, low-resolution, and lighting…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Abid Ali , Ashish Marisetty , Francois Bremond

Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accounting for one-third of total energy usage, and carbon…

Machine Learning · Computer Science 2024-06-19 Arian Prabowo , Xiachong Lin , Imran Razzak , Hao Xue , Emily W. Yap , Matthew Amos , Flora D. Salim

Rapid renovation of Europe's inefficient buildings is required to reduce climate change. However, analyzing and evaluating buildings at scale is challenging because every building is unique. In current practice, the energy performance of…

Computer Vision and Pattern Recognition · Computer Science 2023-06-29 Sebastian Krapf , Kevin Mayer , Martin Fischer

Earth Observation (EO) has traditionally involved the transmission of a large volume of raw data to map the Earth surface. This results in congestion to the satellite network and delays in the availability of the results, invalidating the…

Networking and Internet Architecture · Computer Science 2024-10-11 Antonio M. Mercado-Martínez , Beatriz Soret , Antonio Jurado-Navas

Timely and accurate assessments of building damage are crucial for effective response and recovery in the aftermath of earthquakes. Conventional preliminary damage assessments (PDA) often rely on manual door-to-door inspections, which are…

Computer Vision and Pattern Recognition · Computer Science 2025-06-19 Deepank Singh , Vedhus Hoskere , Pietro Milillo

Energy performance certificate (EPC) and thermal infrared (TIR) images both play a key role in the energy performance mapping of the urban building stock. In this paper, we developed parametric building archetypes using an EPC database and…

In this paper, we present a deforestation estimation method based on attention guided UNet architecture using Electro-Optical (EO) and Synthetic Aperture Radar (SAR) satellite imagery. For optical images, Landsat-8 and for SAR imagery,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Sunita Arya , S Manthira Moorthi , Debajyoti Dhar