Relevant bibliographies by topics / Remote assessment of building

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Remote assessment of building'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Remote assessment of building"

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Han, Xu, Jing Wang, Xun Liu, Jun Du, Xiaolan Bai, and Ran Ji. "PromptNet: Prompt Learning for Roof Photovoltaic Potential Assessment." Journal of Physics: Conference Series 2755, no. 1 (2024): 012042. http://dx.doi.org/10.1088/1742-6596/2755/1/012042.

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Abstract An increasing number of works have been proposed to use remote sensing images to assess the potential for rooftop Photovoltaic (PV) energy development in buildings. However, most methods focus mainly on the remote sensing images themselves, ignoring the key prior information of building type. Thus most works with Deeplabv3+ as backbone present suboptimal performance. To overcome this challenge, we propose a novel approach PromptNet that embeds the building types as prior knowledge and feed it into prompt learning for predict roof PV energy Potential. Specifically, a pre-trained semant
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Tang, Jiawei, Shengquan Yang, Shujuan Huang, and Bozhi Xiao. "Remote Sensing Building Damage Assessment Based on Machine Learning." International Journal of Advanced Network, Monitoring and Controls 9, no. 3 (2024): 1–12. http://dx.doi.org/10.2478/ijanmc-2024-0021.

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Abstract After the occurrence of various types of disasters, including natural disasters and man-made damage, aid workers need accurate and timely data, such as the damage status of buildings, in order to take effective measures for rescue. So as to solve this problem, this paper researches and designs a building damage classification system based on machine learning. The damage assessment system consists of two network models (building extraction network and damage classification network). This article analyzes and designs the structure of each network model, and discusses the principles rela
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Dong, Can, Wenyin Song, and Rui Liu. "Pixel-level Identification and Collapse of Post-earthquake Building Complexes Based on Satellite Remote Sensing Images." Advances in Engineering Technology Research 12, no. 1 (2024): 1337. https://doi.org/10.56028/aetr.12.1.1337.2024.

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Due to the obvious diversity and complexity of damage patterns, geometries, and spatial scales of urban building complex earthquake hazards, conventional identification and assessment methods are less generalizable in real post-earthquake scenarios. Compared with time-range signals such as kinetic acceleration, image/video data provide a new source of perceptual information for accurately assessing the post-earthquake damage of urban building complexes. In order to realize the integrated, comprehensive, and rapid identification and assessment of the structural damage of urban buildings after a
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Gonzalez-Drigo, Ramon, Esteban Cabrera, Guido Luzi, Luis Pujades, Yeudy Vargas-Alzate, and Jorge Avila-Haro. "Assessment of Post-Earthquake Damaged Building with Interferometric Real Aperture Radar." Remote Sensing 11, no. 23 (2019): 2830. http://dx.doi.org/10.3390/rs11232830.

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In this study the main results of a detailed analysis of an actual building, which was severely damaged during the Mw 5.1, May 11th 2011, Lorca earthquake (Murcia, Spain) are presented. The dynamic behavior of the building was analyzed by means of empirical and numerical approaches. The displacement response of the building submitted to ambient noise was recorded by using a Real Aperture Radar (RAR). This approach provides a secure remote sensing procedure that does not require entering the building. Based on the blueprints and other available graphical information about the building, a numeri
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Geiß, Christian, Hannes Taubenböck, Sergey Tyagunov, Anita Tisch, Joachim Post, and Tobia Lakes. "Assessment of Seismic Building Vulnerability from Space." Earthquake Spectra 30, no. 4 (2014): 1553–83. http://dx.doi.org/10.1193/121812eqs350m.

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This paper quantitatively evaluates the suitability of multi-sensor remote sensing to assess the seismic vulnerability of buildings for the example city of Padang, Indonesia. Features are derived from remote sensing data to characterize the urban environment and are subsequently combined with in situ observations. Machine learning approaches are deployed in a sequential way to identify meaningful sets of features that are suitable to predict seismic vulnerability levels of buildings. When assessing the vulnerability level according to a scoring method, the overall mean absolute percentage erro
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Da, Yifan, Zhiyuan Ji, and Yongsheng Zhou. "Building Damage Assessment Based on Siamese Hierarchical Transformer Framework." Mathematics 10, no. 11 (2022): 1898. http://dx.doi.org/10.3390/math10111898.

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The rapid and accurate damage assessment of buildings plays a critical role in disaster response. Based on pairs of pre- and post-disaster remote sensing images, effective building damage level assessment can be conducted. However, most existing methods are based on Convolutional Neural Network, which has limited ability to learn the global context. An attention mechanism helps ameliorate this problem. Hierarchical Transformer has powerful potential in the remote sensing field with strong global modeling capability. In this paper, we propose a novel two-stage damage assessment framework called
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Xu, Hao, Panpan Zhu, Xiaobo Luo, Tianshou Xie, and Liqiang Zhang. "Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement." Remote Sensing 14, no. 3 (2022): 564. http://dx.doi.org/10.3390/rs14030564.

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Extracting buildings from high-resolution remote sensing images is essential for many geospatial applications, such as building change detection, urban planning, and disaster emergency assessment. Due to the diversity of geometric shapes and the blurring of boundaries among buildings, it is still a challenging task to accurately generate building footprints from the complex scenes of remote sensing images. The rapid development of convolutional neural networks is presenting both new opportunities and challenges with respect to the extraction of buildings from high-resolution remote sensing ima
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Yang, Wanting, Xianfeng Zhang, and Peng Luo. "Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake." Remote Sensing 13, no. 3 (2021): 504. http://dx.doi.org/10.3390/rs13030504.

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The collapse of buildings caused by earthquakes can lead to a large loss of life and property. Rapid assessment of building damage with remote sensing image data can support emergency rescues. However, current studies indicate that only a limited sample set can usually be obtained from remote sensing images immediately following an earthquake. Consequently, the difficulty in preparing sufficient training samples constrains the generalization of the model in the identification of earthquake-damaged buildings. To produce a deep learning network model with strong generalization, this study adjust
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Miura, Hiroyuki, and Saburoh Midorikawa. "Updating GIS Building Inventory Data Using High-Resolution Satellite Images for Earthquake Damage Assessment: Application to Metro Manila, Philippines." Earthquake Spectra 22, no. 1 (2006): 151–68. http://dx.doi.org/10.1193/1.2162940.

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In order to conduct earthquake damage assessment, a methodology for updating GIS building inventory data in Metro Manila, Philippines, using remote sensing data is proposed. The locations of newly constructed mid- and high-rise buildings are detected from high-resolution satellite images using the image analysis technique, while the number of low-rise buildings is estimated from the built-up areas on a land cover classification map. The building inventory data is updated by incorporating the data on the newly constructed buildings into the existing data. The number of buildings in the updated
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Gullapalli, Venkata Lakshmi, R. RaghuNandanKumar, and G. R. Reddy. "Assessment of Antenna Mounting Building Structural Strength using Microtremor Analysis." IOP Conference Series: Materials Science and Engineering 1197, no. 1 (2021): 012057. http://dx.doi.org/10.1088/1757-899x/1197/1/012057.

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Abstract Any satellite tracking ground station requires fully steerable dish shaped antenna for fixed satellite services. Antenna foundations require special consideration, because they transmit dynamic loads to soil and foundation system, in addition to static loads due to self-weight of foundation, antenna and its accessories. Antenna foundations are of ground foundation or roof top i.e on buildings based on Radio Frequency requirements. To install antennas on existing building, the building should have required strength. To assess the building strength, building natural frequency and dampin
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Dissertations / Theses on the topic "Remote assessment of building"

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Koohikamali, Mehrdad. "Assessment of Post-earthquake Building Damage Using High-resolution Satellite Images and LiDAR Data - a Case Study From Port-au-prince, Haiti." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700081/.

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When an earthquake happens, one of the most important tasks of disaster managers is to conduct damage assessment; this is mostly done from remotely sensed data. This study presents a new method for building detection and damage assessment using high-resolution satellite images and LiDAR data from Port-au-Prince, Haiti. A graph-cut method is used for building detection due to its advantages compared to traditional methods such as the Hough transform. Results of two methods are compared to understand how much our proposed technique is effective. Afterwards, sensitivity analysis is performed to s
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Gylling, Marcus. "Remote wireless control of building management systems automation." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5342.

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The controlling unit in building management system automation is a PLC. Every device in an installation is connected to the PLC. When a user wants to interact with a system an operator terminal, which is attached to a cabinet where the PLC is installed, is used. With this solution the user needs to be in front of the cabinet to interact with the system. Alarms do not get the user’s attention until the user checks the operator terminal. Using a solution where the communication with the PLC is done with a wireless interface would mean that the user interact with a system from a wider area. The s
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Wu, Yue. "City-scale building energy assessment." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/418312/.

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The UK Government and local authorities have made commitments to reduce their CO2 emissions. This will require interventions to save energy from buildings to be deployed at scale. Previous studies into energy saving from buildings have predominantly focused on the performance of single or limited numbers of buildings, and a review of current literature indicates that there are significant uncertainties when such studies are extrapolated to project the savings potential of large scale building refurbishment. This is due to over-simplified assumptions that were generally used, which underestimat
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net, Andrea@jardineorr, and Andrea Jardine Orr. "Remote Indigenous Housing System – A Systems Social Assessment." Murdoch University, 2005. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20051103.134917.

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Indigenous Australians make up a mere 2.4% of the population of whom around a quarter live in remote and very remote parts of Australia. The poor state of Indigenous housing in remote areas is generally acknowledged as one of Australia’s most intractable housing problems. The thesis examines why the remote Indigenous housing system does not meet the housing needs of Indigenous people in remote areas and discusses an alternative system. The aim of the thesis is to understand why the remote Indigenous housing system is not meeting people’s needs, despite policy statements that emphasise empower
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Orr, Jardine Andrea Frieda. "Remote indigenous housing system : a systems social assessment /." Access via Murdoch University Digital Theses Project, 2005. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20051103.134917.

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Zmuda, A. D. "Assessment of crop performance potential using remote sensing." Thesis, Cranfield University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418273.

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Balashova, Natalia. "Remote Sensing for Organic and Conventional Corn Assessment." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1446803968.

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Jardine, Orr Andrea. "Remote indigenous housing system: a systems social assessment." Thesis, Jardine Orr, Andrea (2005) Remote indigenous housing system: a systems social assessment. PhD thesis, Murdoch University, 2005. https://researchrepository.murdoch.edu.au/id/eprint/112/.

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Indigenous Australians make up a mere 2.4% of the population of whom around a quarter live in remote and very remote parts of Australia. The poor state of Indigenous housing in remote areas is generally acknowledged as one of Australia's most intractable housing problems. The thesis examines why the remote Indigenous housing system does not meet the housing needs of Indigenous people in remote areas and discusses an alternative system. The aim of the thesis is to understand why the remote Indigenous housing system is not meeting people's needs, despite policy statements that emphasise empow
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Jardine, Orr Andrea. "Remote indigenous housing system: a systems social assessment." Jardine Orr, Andrea (2005) Remote indigenous housing system: a systems social assessment. PhD thesis, Murdoch University, 2005. http://researchrepository.murdoch.edu.au/112/.

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Indigenous Australians make up a mere 2.4% of the population of whom around a quarter live in remote and very remote parts of Australia. The poor state of Indigenous housing in remote areas is generally acknowledged as one of Australia's most intractable housing problems. The thesis examines why the remote Indigenous housing system does not meet the housing needs of Indigenous people in remote areas and discusses an alternative system. The aim of the thesis is to understand why the remote Indigenous housing system is not meeting people's needs, despite policy statements that emphasise empow
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Araiza, Garaygordobil Juan Carlos. "Dynamic assessment of structural building components." Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/6154.

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The development of methods that correlate the measure of dynamic parameters with the condition of the structure has received a considerable attention from the engineering community in the last few years. In the field of structural assessment of buildings, dynamic testing can be used to extend the inspection to every structural component, covering the gaps left by other more complex techniques (such as core extraction or load testing). The information obtained by the dynamic means is not restricted only (as traditional methods are) to the location in which the tests is developed while the use o
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Books on the topic "Remote assessment of building"

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H, Knepper Daniel, and Geological Survey (U.S.), eds. Geologic characterization of natural aggregate: A field geologist's guide to natural aggregate resource assessment. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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Langer, William H. Geologic characterization of natural aggregate: A field geologist's guide to natural aggregate resource assessment. U.S. Geological Survey, 1995.

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H, Langer William, Miller S. H, and Geological Survey (U.S.), eds. Remote sensing and airborne geophysics in the assessment of natural aggregate resources. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Paquet, Catherine. Building Cisco remote access networks. Cisco Press, 1999.

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Shutko, A. M. Practical microwave radiometric risk assessment. Professor Marin Drinov Academic Publishing House, 2010.

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K, Fenstermaker Lynn, and American Society for Photogrammetry and Remote Sensing., eds. Remote sensing thematic accuracy assessment: A compendium. American Society for Photogrammetry and Remote Sensing, 1994.

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R, Nagarajan. Drought Assessment. Springer Science+Business Media B.V., 2010.

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Oury, Jacob D., and Frank E. Ritter. Building Better Interfaces for Remote Autonomous Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47775-2.

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United States. National Aeronautics and Space Administration., ed. Independent Orbiter assessment: Assessment of the EPD&C remote manipulator system. National Aeronautics and Space Administration, 1990.

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Padjen, Robert. CCNP: Building Cisco remote access networks : study guide. SYBEX, 2004.

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Book chapters on the topic "Remote assessment of building"

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Singh, Karan Deo. "Remote Sensing Applications in Forest Inventory." In Capacity Building for the Planning, Assessment and Systematic Observations of Forests. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32292-1_12.

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Proulx-Bourque, Jean-Samuel, Heather McGrath, Denis Bergeron, and Charles Fortin. "Extraction of Building Footprints from LiDAR: An Assessment of Classification and Point Density Requirements." In Advances in Remote Sensing for Infrastructure Monitoring. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59109-0_11.

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Tran, Van Anh, Quoc Cuong Tran, Duc Anh Nguyen, et al. "Subsidence Assessment of Building Blocks in Hanoi Urban Area from 2011 to 2014 Using TerraSAR-X and COSMO-SkyMed Images and PSInSAR." In Remote Sensing and GIScience. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55092-9_8.

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Rajeev, Kumar. "Building Flood Resilience Through Flood Risk Assessment with Optical and Microwave Remote Sensing." In Geospatial Technology to Support Communities and Policy. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52561-2_7.

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Srivastava, Harshit, and Nitika Bhakuni. "A Comparative Assessment of Methods for Identification of Road Traffic Crashes." In Smart Buildings and Cities with Remote Sensing and GIS. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003453321-16.

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Priyanka, N., and G. Bhaskaran. "An Assessment of Spatio-Temporal Distribution of Urban Growth and Urban Sprawl Using Geospatial Prediction Models." In Smart Buildings and Cities with Remote Sensing and GIS. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003453321-26.

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Verma, Shikha, Rashi Tanwar, Aya Ali Salim, Ameer Kaissar Ibrahim, and Jenan Ali Hammoode. "Assessment of Urban Heat Island Effects for Building Climate Resilience Through Remote Sensing and Machine Learning Techniques." In Sustainable Civil Infrastructures. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84335-8_10.

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Rana, Divyeshkumar, Jay Prajapati, and Kirtan Shah. "Urban Sprawl Prediction Using Land Use Evolution and Impact Assessment Model (LIEM) for Ahmedabad City as a Heritage Importance." In Smart Buildings and Cities with Remote Sensing and GIS. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003453321-25.

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Sharma, Anurag, Rajesh Kumar Tripathi, and Govardhan Bhat. "Seismic Assessment of Vertically Irregular RC Frame Buildings Designed Using Direct Displacement-Based Design Approach." In Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-43218-7_95.

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Trofymchuk, Oleksandr, Iurii Kaliukh, Oleksiy Lebid, et al. "Effect of Landslide Deformation on the Stability of St. Andrew’s Church (Kyiv, Ukraine): Applications of Remote Sensing and Mathematical Modeling." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_11.

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AbstractThis article presents the work conducted by the authors to analyze the stability of the St. Andrew’s Church which contains architecture, painting and decorative arts of the XVIII century. The church is located on a landslide-hazardous hill in the historic part of Kyiv, the capital of Ukraine. The architectural monument was built in 1747–1762 upon the project of Francois Bartolomeo Rastrelli in the Baroque style. It is one of the most important architectural monuments in Ukraine, which has cultural and historical value. Fluctuations in the height of the soil of the upper and lower part
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Conference papers on the topic "Remote assessment of building"

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Sica, Francescopaolo, Tim Löffler, and Michael Schmitt. "Building Damage Assessment Over Ukraine Using SAR Time Series." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640632.

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Melamed, Dennis, Cameron Johnson, Isaac D. Gerg, et al. "Uncovering Bias in Building Damage Assessment from Satellite Imagery." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642347.

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Gasparovic, Iva, Mateo Gasparovic, Filip Radic, and Mario Uros. "AUTOMATIC URBANISATION MONITORING FOR RISK ASSESSMENT BY REMOTE SENSING AND COPERNICUS DATA � A PRELIMINARY RESEARCH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s19.33.

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Rapid urbanization increases the vulnerability of cities to natural hazards, especially earthquakes, as unplanned growth can aggravate structural risks and strain infrastructure. This research is based on a project �Automatic urbanization monitoring for risk assessment by remote sensing and Copernicus data� which aims to improve the detection of urban growth patterns and identify areas with increased seismic vulnerability. This project�s main goal is to develop and test a prototype for automatic urbanization monitoring for risk assessment aided by remote sensing and Copernicus data for fast an
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Gu, Ziqi, Zhaiyu Chen, Yilei Shi, and Xiao Xiang Zhu. "Remote Sensing for Building Energy Efficiency Assessment: A Multi-modal Multi-task Approach." In 2025 Joint Urban Remote Sensing Event (JURSE). IEEE, 2025. https://doi.org/10.1109/jurse60372.2025.11076072.

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Dias, Philipe, Jacob Arndt, Marie Urban, and Dalton Lunga. "Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640461.

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Zhang, Zhili, Xiangyun Hu, and Jiabo Xu. "Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640560.

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Chintakindi, Bhanu Prasad, Yoshiki Ogawa, Shenglong Chen, and Yoshihide Sekimoto. "Revamping Building Extraction with Yolov8: A Multi-Domain Assessment in Bangkok's Diverse Land-Use-Types." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641251.

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Li, Xuechun, Runyu Gao, Paula M. Burgi, David J. Wald, and Susu Xu. "Optimizing Rapid Seismic Building Damage Assessment: Integrating Enhanced Radar Change Detection Maps with Variational Bayesian Networks." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642659.

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Brown, Kevin, Ken Trimber, and Harold DeCelle. "Case Study – Coating Failure or Building Failure." In SSPC 2016 Greencoat. SSPC, 2016. https://doi.org/10.5006/s2016-00073.

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Abstract This paper presents the diagnostic work undertaken to determine the cause of failing coating and spalling block on the exterior of a commercial building in northern Illinois. The field assessment methods used to diagnose the problems including non-destructive and destructive methods for determining moisture content in the masonry, infrared thermography, and visual assessments are described. Modeling using WUFI® is also presented. WUFI® was used as an aid in establishing the cause of the failures and in determining whether the existing coating system, by virtue of permeance, should be
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Bui, Cao Vu, and Quoc-Trinh Vo. "Smart Environmental Monitoring: Leveraging Remote Sensing and Machine Learning for Water Quality Assessment at Da Nang Beaches." In 2024 9th International Conference on Applying New Technology in Green Buildings (ATiGB). IEEE, 2024. http://dx.doi.org/10.1109/atigb63471.2024.10717693.

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Reports on the topic "Remote assessment of building"

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Hochmair, Hartwig, Adam Benjamin, Daniel Gann, Levente Juhasz, and Zhaohui Fu. Miami-Dade County Urban Tree Canopy Analysis. Florida International University, 2021. http://dx.doi.org/10.25148/gis.009116.

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This assessment focuses on describing urban tree canopy (UTC) within the Urban Development Boundary of Miami-Dade County, as defined by the Miami-Dade County Transportation Planning Organization (Figure 1). The area (intracoastal water areas excluded) encompasses approximately 1147 km2 (443 mi2). A combination of remote sensing and publicly available vector data was used to classify the following land cover classes: tree canopy/shrubs, grass, bare ground, wetland, water, building, street/railroad, other impervious surfaces, and cropland.
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Griffin, Andrew, Sean Griffin, Kristofer Lasko, et al. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting
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Chowdhury, S. M. Zahedul Islam, and M. A. Mannan. PERFORMANCE ASSESSMENT OF THE PILOT PROGRAM OF SHISHU BIKASH KENDRA. Bangladesh Institute of Development Studies, 2024. http://dx.doi.org/10.57138/vnnb9520.

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The distressed/street children are deprived of the basic necessities of life, such as food, shelter, clothing, healthcare, and other supports – psychological and others, needed for a child. The government initiated six Shishu Bikash Kendra (SBKs) to improve the environment for street children, their quality of life, and future prospects. Bangladesh Shishu Academy (BSA), under the Ministry of Women and Children Affairs (MoWCA), has designed a holistic model that will directly reach 1,500 children (250 under each SBK) and promote their education, livelihood opportunities, healthcare, and protect
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Canavan, G. H. Remote moving target indication assessment. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/383654.

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Lever, James, Allan Delaney, Laura Ray, E. Trautman, Lynette Barna, and Amy Burzynski. Autonomous GPR surveys using the polar rover Yeti. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43600.

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Abstract:
The National Science Foundation operates stations on the ice sheets of Antarctica and Greenland to investigate Earth’s climate history, life in extreme environments, and the evolution of the cosmos. Understandably, logistics costs predominate budgets due to the remote locations and harsh environments involved. Currently, manual ground-penetrating radar (GPR) surveys must preceed vehicle travel across polar ice sheets to detect subsurface crevasses or other voids. This exposes the crew to the risks of undetected hazards. We have developed an autonomous rover, Yeti, specifically to conduct GPR s
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Ramuhalli, P., P. G. Heasler, T. L. Moran, A. E. Holmes, and M. T. Anderson. Reliability Assessment of Remote Visual Examination. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1468477.

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Gillespie, AJR. Remote Sensing for Tropical Forest Assessment. U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1994. http://dx.doi.org/10.2737/so-gtr-113.

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8

Mertz, G. Structural acceptance criteria Remote Handling Building Tritium Extraction Facility. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/750115.

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Rangwala, Huzefa, and George Karypis. Building Multiclass Classifiers for Remote Homology Detection and Fold Recognition. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada446086.

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Pyke, Benjamin J. Practical Approach To Building A Mid-Wave Remote Sensing System. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1343834.

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