Deep Mapping Algorithm Papers

• Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
• TorontoCity: Seeing the World with a Million Eyes
• Joint Learning from Earth Observation and OpenStreet Map Data to Get Faster Better Semantic Maps
• RoadTracer: Automatic Extraction of Road Networks from Aerial Images
• TernausNetV2: Fully Convolutional Network for Instance Segmentation
• City-Scale Map Creation and Updating using GPS Collections
• Building Detection from Satellite Imagery Using a Composite Loss Function
• Building Detection from Satellite Imagery using Ensemble of Size-specific Detectors
• Enhancing Road Maps by Parsing Aerial Images Around the World
• DeepRoadMapper: Extracting Road Topology from Aerial Images
• D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
• SpaceNet: A Remote Sensing Dataset and Challenge Series
• Generative Street Addresses from Satellite Imagery
• DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
• A Neural Network Decomposition Algorithm for Mapping on Crossbar-Based Computing Systems
• DeepMap: Learning Deep Representations for Graph Classification
• Deep Mapping of the Visual Literature
• A Survey on Deep Learning: Algorithms, Techniques, and Applications
• A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification
• The Structure-Mapping Engine: Algorithm and Examples
• Deep mapping gentrification in a large Canadian city using deep learning and Google Street View