13 citations · 43 across the 4 of their papers we have counts for
5 papers
The Multi-Temporal Urban Development SpaceNet Dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez-Manso +3
Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. For example, quantifying populat…
The SpaceNet Multi-Temporal Urban Development Challenge
Adam Van Etten, Daniel Hogan
Building footprints provide a useful proxy for a great many humanitarian applications. For example, building footprints are useful for high fidelity population estimates, and quant…
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer, Thomas Hossler, Adam Van Etten +3
RarePlanes is a unique open-source machine learning dataset that incorporates both real and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses o…
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
Jacob Shermeyer, Daniel Hogan, Jason Brown +8
Within the remote sensing domain, a diverse set of acquisition modalities exist, each with their own unique strengths and weaknesses. Yet, most of the current literature and open d…
Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data
Adam Van Etten, Jacob Shermeyer, Daniel Hogan +2
Identification of road networks and optimal routes directly from remote sensing is of critical importance to a broad array of humanitarian and commercial applications. Yet while id…