Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study

Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh

(2019) Xizhi Zhao et al.   Remote Sensing

Size distributions of slums across the globe using different data and classification methods

(2019) John Friesen et al.   European Journal of Remote Sensing

Post-Disaster Recovery Assessment with Machine Learning-Derived Land Cover and Land Use Information

(2019) Mohammadreza Sheykhmousa et al.   Remote Sensing

Mapping informal settlement indicators using object-oriented analysis in the Middle East

(2018) Ahmad Fallatah et al.   International Journal of Digital Earth

Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification

(2018) Rao Muhammad Anwer et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object-Based Features for House Detection from RGB High-Resolution Images

(2018) Renxi Chen et al.   Remote Sensing

Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mapping

(2018) John A. Quinn et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review

(2018) Jacinta Holloway et al.   Remote Sensing

Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images

(2018) Stefanos Georganos et al.   Remote Sensing

Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia

(2018) Gina Leonita et al.   Remote Sensing

The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator

(2018) Monika Kuffer et al.   ISPRS International Journal of Geo-Information

Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images

(2017) Claudio Persello et al.   IEEE Geoscience and Remote Sensing Letters

Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data

(2017) Caroline M. Gevaert et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Random Forests classification method for urban land-use mapping integrating spatial metrics and texture analysis

(2017) Ivan Elias Ruiz Hernandez et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Exploring diversity in ensemble classification: Applications in large area land cover mapping

(2017) Andrew Mellor et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery

(2017) Juan Duque et al.   Remote Sensing

Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

(2017) Nicholus Mboga et al.   Remote Sensing

A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation

(2016) Pablito M. López-Serrano et al.   CANADIAN JOURNAL OF REMOTE SENSING

Extraction of Slum Areas From VHR Imagery Using GLCM Variance

(2016) Monika Kuffer et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Object-based urban structure type pattern recognition from Landsat TM with a Support Vector Machine

(2016) Marc Wieland et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Urban slum detection using texture and spatial metrics derived from satellite imagery

(2016) Divyani Kohli et al.   Journal of Spatial Science

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

(2016) Monika Kuffer et al.   Remote Sensing

Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs

(2016) Eric Salas et al.   Remote Sensing

A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation

(2016) Pablito M. López-Serrano et al.   CANADIAN JOURNAL OF REMOTE SENSING

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

Spatiotemporal Detection and Analysis of Urban Villages in Mega City Regions of China Using High-Resolution Remotely Sensed Imagery

(2015) Xin Huang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin

(2015) Andrew Mellor et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A New Spectral Index for Extraction of Built-Up Area Using Landsat-8 Data

(2015) Sara Bouzekri et al.   Journal of the Indian Society of Remote Sensing

Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data

(2015) Juan C. Duque et al.   LANDSCAPE AND URBAN PLANNING

UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis

(2015) Quanlong Feng et al.   Remote Sensing

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

(2014) Yuguo Qian et al.   Remote Sensing

Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

(2014) Marc Wieland et al.   Remote Sensing

Object-Based Image Classification of Summer Crops with Machine Learning Methods

(2014) José Peña et al.   Remote Sensing

Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture

(2014) Jun Zhang et al.   Remote Sensing

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

(2013) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Geographic Object-Based Image Analysis – Towards a new paradigm

(2013) Thomas Blaschke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery

(2013) Mahyat Shafapour Tehrany et al.   Geocarto International

Transferability of Object-Oriented Image Analysis Methods for Slum Identification

(2013) Divyani Kohli et al.   Remote Sensing

Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape

(2012) J. Graesser et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

(2012) Victor F. Rodriguez-Galiano et al.   International Journal of Digital Earth

Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach

(2012) Annemarie Schneider   REMOTE SENSING OF ENVIRONMENT

Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data

(2012) Bahram Salehi et al.   Remote Sensing

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic

(2011) B. Ghimire et al.   Remote Sensing Letters

Assessing object-based classification: advantages and limitations

(2011) Desheng Liu et al.   Remote Sensing Letters

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping megacity growth with multi-sensor data

(2009) Patrick Griffiths et al.   REMOTE SENSING OF ENVIRONMENT

Improvement of Image Segmentation Accuracy Based on Multiscale Optimization Procedure

(2008) T. Esch et al.   IEEE Geoscience and Remote Sensing Letters

Integrative Assessment of Informal Settlements Using VHR Remote Sensing Data—The Delhi Case Study

(2008) Susan Niebergall et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure

(2008) Martino Pesaresi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data

(2008) Annemarie Ebert et al.   NATURAL HAZARDS