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Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
The quality of extracted buildings and processing time demonstrated the proposed CNN-based framework fits the need of building extraction at scale.
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches
Very large overhead imagery associated with ground truth maps has the potential to generate billions of training image patches for machine learning algorithms.
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