- Semantic Segmentation Of Aerial Images With An Ensemble Of CNNs
- A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery
- Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks
- Scene Classification via a Gradient Boosting Random Convolutional Network Framework
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
- Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
- Sensing Urban Land-use Patterns By Integrating Google Tensorflow And Scene-classification Models
- TensorFlow: A system for large-scale machine learning
- Earth Observation Open Science and Innovation
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