| _ | slum | _ |
|---|---|---|
| Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from | slum | s in Africa and Asia |
| Automated detection of | slum | area change in Hyderabad, India using multitemporal satellite imagery |
| Coupling Uncertainties with Accuracy Assessment in Object-Based | slum | Detections, Case Study: Jakarta, Indonesia |
| Detecting | slum | s From Quick Bird Data In Pune Using An Object Oriented Approach |
| Exploring the Potential of Machine Learning for Automatic | slum | Identification from VHR Imagery |
| Geoscience-Aware Network (GA | slum | Net) Combining UNet and ConvNeXt for Slum Mapping, A |
| Identifying a | slum | s' Degree of Deprivation from VHR Images Using Convolutional Neural Networks |
| Improving the | slum | Planning Through Geospatial Decision Support System |
| Integrating Remote Sensing and Street View Imagery for Mapping | slum | s |
| Machine Learning-Based | slum | Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia |
| Machine Learning-Based | slum | Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia |
| Misperceptions of Predominant | slum | Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data |
| Misperceptions of Predominant | slum | Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data |
| Object-Oriented Analysis of Very High Resolution Orthophotos for Estimating the Population of | slum | Areas, A Case of Dar-Es-Salaam, Tanzania |
| Scope of Earth-Observation to Improve the Consistency of the SDG | slum | Indicator, The |
| Semantic segmentation of | slum | s in satellite images using transfer learning on fully convolutional neural networks |
| slum | s from Space: 15 Years of Slum Mapping Using Remote Sensing | |
| slum | s from Space: 15 Years of Slum Mapping Using Remote Sensing | |
| Spatial Dimension of COVID-19: The Potential of Earth Observation Data in Support of | slum | Communities with Evidence from Brazil, The |
| Temporal Dynamics of | slum | s Employing a CNN-Based Change Detection Approach, The |
| Transferability of Object-Oriented Image Analysis Methods for | slum | Identification |
| Uncertainty-Aware Interpretable Deep Learning for | slum | Mapping and Monitoring |
| Urban Development in West Africa: Monitoring and Intensity Analysis of | slum | Growth in Lagos: Linking Pattern and Process |