Publications (4)
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas +5
Detection and segmentation of objects in overheard imagery is a challenging task. The variable density, random orientation, small size, and instance-to-instance heterogeneity of ob…
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
Ilke Demir, Krzysztof Koperski, David Lindenbaum +6
We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which includes three public competitions for segmentation, detection, and classification tasks on satellite i…
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
Marc Bosch, Joseph Nassar, Benjamin Ortiz +5
With the proliferation of imaging sensors, the volume of multi-modal imagery far exceeds the ability of human analysts to adequately consume and exploit it. Full motion video (FMV)…
A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
Benjamin Ortiz, David Lindenbaum, Joseph Nassar +5
Organizations are starting to realize of the combined power of data and data-driven algorithmic models to gain insights, situational awareness, and advance their mission. A common…