Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Landscape and Urban Planning

• Publication date

  2014-10-01

• Fields of study

  Geography, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.LANDURBPLAN.2014.07.005
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

  2013cited by this paper
• The value of water-related amenities in an arid city: The case of the Phoenix metropolitan area

  2013cited by this paper
• RETRACTED ARTICLE: An intelligent approach towards automatic shape modelling and object extraction from satellite images using cellular automata based algorithm

  2013cited by this paper
• River-flow boundary delineation from digital aerial photography and ancillary images using Support Vector Machines

  2013cited by this paper
• Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY

  2012cited by this paper
• Rule Extraction from Ensemble Methods Using Aggregated Decision Trees

  2012cited by this paper
• Assessing contextual descriptive features for plot-based classification of urban areas

  2012cited by this paper
• Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

  2012cited by this paper
• A Fusion Approach for Tree Crown Delineation from Lidar Data

  2012cited by this paper
• A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications

  2011cited by this paper
• A Volumetric Approach to Population Estimation Using Lidar Remote Sensing

  2011cited by this paper
• An artificial immune network approach to multi-sensor land use/land cover classification

  2011cited by this paper
• Exploring full-waveform LiDAR parameters for tree species classification

  2011cited by this paper
• Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

  2011cited by this paper
• Population estimation based on multi-sensor data fusion

  2010cited by this paper
• Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data

  2010cited by this paper
• An efficient stochastic approach for building footprint extraction from digital elevation models

  2010cited by this paper
• Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge

  2010cited by this paper
• MORPHOLOGY-BASED BUILDING DETECTION FROM AIRBORNE LIDAR DATA

  2009cited by this paper
• Using Geometrical, Textural, and Contextual Information of Land Parcels for Classification of Detailed Urban Land Use

  2009cited by this paper
• Road centreline extraction from high‐resolution imagery based on multiscale structural features and support vector machines

  2009cited by this paper
• Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings

  2009cited by this paper
• Empirical analysis of support vector machine ensemble classifiers

  2009cited by this paper
• Property values, parks, and crime: A hedonic analysis in Baltimore, MD

  2008cited by this paper
• Object-Based Land Cover Classification Using High-Posting-Density LiDAR Data

  2008cited by this paper
• Fusion of Lidar and Imagery for Reliable Building Extraction

  2008cited by this paper
• Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression

  2008cited by this paper
• Object‐based change detection using correlation image analysis and image segmentation

  2008cited by this paper
• Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

  2008cited by this paper
• An object‐oriented approach for analysing and characterizing urban landscape at the parcel level

  2008cited by this paper
• Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation

  2008cited by this paper
• Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas

  2008cited by this paper
• A Practical Guide to Support Vector Classication

  2008cited by this paper
• Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features

  2007cited by this paper
• Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space: A case study in Jinan City, China

  2007cited by this paper
• Building boundary tracing and regularization from airborne lidar point clouds

  2007cited by this paper
• The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas.

  2007cited by this paper
• An automated binary change detection model using a calibration approach

  2007cited by this paper
• Urban land-use classification using variogram-based analysis with an aerial photograph

  2006cited by this paper
• Genetic Algorithms for Support Vector Machine Model Selection

  2006cited by this paper
• Automatic Construction of Building Footprints From Airborne LIDAR Data

  2006cited by this paper
• A change detection model based on neighborhood correlation image analysis and decision tree classification

  2005cited by this paper
• Machine Learning Benchmarks and Random Forest Regression

  2004cited by this paper
• Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy

  2004cited by this paper
• Classifying land development in high-resolution Satellite imagery using hybrid structural-multispectral features

  2004cited by this paper
• Spatial Metrics and Image Texture for Mapping Urban Land Use

  2003cited by this paper
• Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America

  2003cited by this paper
• Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness

  2003cited by this paper
• Constructing support vector machine ensemble

  2003cited by this paper
• Classification using ASTER data and SVM algorithms;: The case study of Beer Sheva, Israel

  2002cited by this paper
• Classes of Kernels for Machine Learning: A Statistics Perspective

  2002cited by this paper
• Random Forests

  2001cited by this paper
• Instability of decision tree classification algorithms

  2001cited by this paper
• Assessing the accuracy of remotely sensed data : principles and practices

  1998cited by this paper
• Support-Vector Networks

  1995cited by this paper
• Introductory Digital Image Processing: A Remote Sensing Perspective

  1986cited by this paper
• ISPRS Journal of Photogrammetry and Remote Sensing

  year unknowncited by this paper
• Isprs Journal of Photogrammetry and Remote Sensing Automatic Detection of Residential Buildings Using Lidar Data and Multispectral Imagery

  year unknowncited by this paper

• Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery

  2026cites this paper
• Recognition of Building Structural Types Using Multisource Remote Sensing Data and Prior Knowledge

  2026cites this paper
• Ensemble Machine Learning for Meteorological Drought Assessment and Forecasting with Satellite and Climate Data (Urmia Lake Basin, Iran)

  2026cites this paper
• Incorporating Building Morphology Data to Improve Urban Land Use Mapping: A Case Study of Shenzhen

  2025cites this paper
• Integrating multimodal data using machine learning methods to identify prototype building stocks for urban building energy consumption assessment

  2025cites this paper
• Utilizing a deep neural network for robot semantic classification in indoor environments

  2025cites this paper
• Enhancing Residential Building Identification in a Coastal Texas City: An Integrated Framework Leveraging Remote Sensing, GIS, and Transfer Learning Techniques

  2025cites this paper
• Energy-saving potential of cool roofs at the urban scale: A case study of Xiamen city

  2025cites this paper
• Building occupancy type classification and uncertainty estimation using machine learning and open data

  2025cites this paper
• A critical review of exploring the recent trends and technological advancements in forest biomass estimation

  2025cites this paper
• Identifying industrial buildings as a spatial resource for sustainable urban regeneration in high-density post-industrial metropolitan in Asia

  2025cites this paper
• Building morphologies of the USA structures database; a gauntlet feature set

  2025cites this paper
• Inferring building functions from a weighted graph isomorphic network based on the building-POI graph

  2025cites this paper
• Urban building function classification based on multisource geospatial data: a two-stage method combining unsupervised and supervised algorithms

  2024cites this paper
• Mapping Heat Vulnerability in Australian Capital Cities: A Machine Learning and Multi-Source Data Analysis

  2024cites this paper
• Pushing the limit to near real-time indoor LiDAR-based semantic segmentation

  2024cites this paper
• Predicting Building Types and Functions at Transnational Scale

  2024cites this paper
• Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags

  2024cites this paper
• Target-based building extraction from high-resolution RGB imagery using GEOBIA framework and tabular deep learning model

  2024cites this paper
• Deep learning based identification and interpretability research of traditional village heritage value elements: a case study in Hubei Province

  2024cites this paper
• Building information extraction and earthquake damage prediction in an old urban area based on UAV oblique photogrammetry

  2024cites this paper
• Fusion of Google Street View, LiDAR, and Orthophoto Classifications Using Ranking Classes Based on F1 Score for Building Land-Use Type Detection

  2024cites this paper
• Predicting building characteristics at urban scale using graph neural networks and street-level context

  2024cites this paper
• Developing urban building energy models for shanghai city with multi-source open data

  2024cites this paper
• Urban Ecohydrology: Accounting for Sub‐Grid Lateral Water and Energy Transfers in a Land Surface Model

  2024cites this paper
• A graph-based neural network approach to integrate multi-source data for urban building function classification

  2024cites this paper
• Developing approaches in building classification and extraction with synergy of YOLOV8 and SAM models

  2024influential citation
• Machine Learning and Remote Sensing Integration for Leveraging Urban Sustainability: A Review and Framework

  2023cites this paper
• Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data

  2023cites this paper
• Classification Analysis of Industrial Buildings Using Orthophoto and NDSM Data with Deep Learning Approach (Case Study: Kali Rungkut Village, Surabaya)

  2023cites this paper
• A Survey on Robot Semantic Navigation Systems for Indoor Environments

  2023cites this paper
• City Foundation Models for Learning General Purpose Representations from OpenStreetMap

  2023cites this paper
• Assessment of Spatial Patterns of Backyard Shacks Using Landscape Metrics

  2023cites this paper
• Predicting building age from urban form at large scale

  2023cites this paper
• CityFM: City Foundation Models to Solve Urban Challenges

  2023cites this paper
• The Potential of Remote Sensing and GIS in Urban Building Energy Modelling

  2023cites this paper
• Enhancing Flood Risk Assessment Through Machine Learning and Open Data

  2023cites this paper
• Pre-clustering active learning method for automatic classification of building structures in urban areas

  2023cites this paper
• Building function classification in Nanjing, China, using deep learning

  2022cites this paper
• Identify urban building functions with multisource data: a case study in Guangzhou, China

  2022influential citation
• Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

  2022cites this paper
• Predicting building types using OpenStreetMap

  2022cites this paper
• Artificial Intelligence Based Methods for Smart and Sustainable Urban Planning: A Systematic Survey

  2022cites this paper
• Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method

  2022cites this paper
• Dynamic Monitoring and Evaluation of Regional EE Quality Based on Multi-source Remote Sensing Data

  2022cites this paper
• Extracting Suburban Residential Building Zone from Airborne Streak Tube Imaging LiDAR Data

  2022cites this paper
• Classification of Building Types in Germany: A Data-Driven Modeling Approach

  2022cites this paper
• Where do university graduates live? – A computer vision approach using satellite images

  2021cites this paper
• The utility of built environment geospatial data for high-resolution dasymetric global population modeling

  2021cites this paper
• A GIS-based Land Cover Classification Approach Suitable for Fine‐scale Urban Water Management

  2021cites this paper
• Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition

  2021cites this paper
• High-Resolution Gridded Population Datasets: Exploring the Capabilities of the World Settlement Footprint 2019 Imperviousness Layer for the African Continent

  2021cites this paper
• Do land policies make a difference? A data-driven approach to trace effects on urban form in France and Germany

  2021cites this paper
• Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery

  2021cites this paper
• Automated classification of building structures for urban built environment identification using machine learning

  2021cites this paper
• Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data

  2021cites this paper
• Population Disaggregation on the Building Level Based on Outdated Census Data

  2021cites this paper
• Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data

  2021cites this paper
• Automatic classification of rural building characteristics using deep learning methods on oblique photography

  2021cites this paper
• Comparison of Parametric and Non-Parametric Techniques to Accurate Classification of Forest Attributes on Satellite Image Data

  2020cites this paper
• Sistema de Información Geográfica tipológico para el conocimiento y la conservación del patrimonio construido: un caso de estudio en el sur de Italia

  2020cites this paper
• Mountain Road Planning and Analysis Model Based on Data Mining

  2020cites this paper
• Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China

  2020influential citation
• Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models

  2020cites this paper
• Spatiotemporal dynamics and the contributing factors of residential vacancy at a fine scale: A perspective from municipal water consumption

  2020cites this paper
• An AHP/TOPSIS-Based Approach for an Optimal Site Selection of a Commercial Opening Utilizing GeoSpatial Data

  2020cites this paper
• Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings

  2020cites this paper
• Estimating building-scale population using multi-source spatial data

  2020cites this paper
• Definition of a new morphological parameter to improve prediction of urban heat island

  2020cites this paper
• Identifying Building Functions from the Spatiotemporal Population Density and the Interactions of People among Buildings

  2019cites this paper
• Deconstructing landscape pattern: applications of remote sensing to physiognomic landscape mapping

  2019cites this paper
• Tackling Climate Change with Machine Learning

  2019cites this paper
• Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data

  2019cites this paper
• Urban Impervious Surface Detection From Remote Sensing Images: A review of the methods and challenges

  2019cites this paper
• Deconstructing landscape pattern: applications of remote sensing to physiognomic landscape mapping

  2019cites this paper
• Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts

  2019cites this paper
• Finer Resolution Mapping of Marine Aquaculture Areas Using WorldView-2 Imagery and a Hierarchical Cascade Convolutional Neural Network

  2019cites this paper
• Modelling spatial distribution of fine-scale populations based on residential properties

  2019cites this paper
• Above Ground Biomass Estimation Methods and Challenges: A Review

  2019cites this paper
• Assessing nighttime lights for mapping the urban areas of 50 cities across the globe

  2019cites this paper
• Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach

  2019cites this paper
• Semantic labelling of building types A comparison of two approachesusing Random Forest and Deep Learning

  2019influential citation
• DESCRIBING THE VERTICAL STRUCTURE OF INFORMAL SETTLEMENTS ON THE BASIS OF LIDAR DATA – A CASE STUDY FOR FAVELAS (SLUMS) IN SAO PAULO CITY

  2019cites this paper
• DSM AND DTM FOR EXTRACTING 3D BUILDING MODELS: ADVANTAGES AND LIMITATIONS

  2019cites this paper
• Building Extraction and Classification

  2019cites this paper
• Predicting residential structures from open source remotely enumerated data using machine learning

  2018cites this paper
• Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches

  2018cites this paper
• Analysis of the relationships between environmental noise and urban morphology.

  2018cites this paper
• Monitoring and Characterization of Arctic Sea Ice using Radar Altimetry

  2018cites this paper
• On the spatial distribution of buildings for map generalization

  2018cites this paper
• Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards

  2018cites this paper
• Utilizing publicly available satellite data for urban research: Mapping built-up land cover and land use in Ho Chi Minh City, Vietnam

  2018cites this paper
• Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data

  2018cites this paper
• Creating 3D city models from satellite imagery for integrated assessment and forecasting of solar energy

  2018cites this paper
• Analysis of In-Service Traffic Sign Visual Condition: Tree-Based Model for Mobile LiDAR and Digital Photolog Data

  2018cites this paper
• Housing building typology definition in a historical area based on a case study: The Valley, Spain

  2018cites this paper
• Visualising urban energy use: the use of LiDAR and remote sensing data in urban energy planning

  2017cites this paper
• Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data

  2017cites this paper
• Crown-level tree species classification from AISA hyperspectral imagery using an innovative pixel-weighting approach

  2017cites this paper
• Towards Automated Real Estate Assessment from Satellite Images with CNNs

  2017cites this paper