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Daily Archive for January 26th, 2017

We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, January 30, on the use of satellite imagery, which is becoming more and more accessible and available in near real-time, for risk analysis and disaster response. Prof. Shunichi Koshimura presents evidence of the value of earth observation, used in combination [...]

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Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially [...]

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