5 papers · 1 filter
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…
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…
SpaceNet: A Remote Sensing Dataset and Challenge Series
Adam Van Etten, Dave Lindenbaum, Todd M. Bacastow
Foundational mapping remains a challenge in many parts of the world, particularly in dynamic scenarios such as natural disasters when timely updates are critical. Updating maps is…
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…