![]() Unique building footprints labels, enabling the creation and evaluation of Km^2 over multiple overlapping collects and is annotated with over 48,000 The dataset and challenge focus on mapping and buildingįootprint extraction using a combination of these data sources. ![]() (MSAW) dataset and challenge, which features two collection modalities (both ![]() To address this problem, we present an open Multi-Sensor All Weather Mapping Particularly at very-high spatial resolutions, i.e. To researchers to explore the effectiveness of SAR for such applications, Despite all of these advantages, there is little open data available Response, when weather and cloud cover can obstruct traditional optical To penetrate clouds and collect during all weather, day and night conditions.Ĭonsequently, SAR data are particularly valuable in the quest to aid disaster optical data is often the preferred choice for geospatialĪpplications, but requires clear skies and little cloud cover to work well.Ĭonversely, Synthetic Aperture Radar (SAR) sensors have the unique capability Yet, most of theĬurrent literature and open datasets only deal with electro-optical (optical)ĭata for different detection and segmentation tasks at high spatial ![]() Authors: Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Haensch, Alexei Bastidas, Scott Soenen, Todd Bacastow, Ryan Lewis Download PDF Abstract: Within the remote sensing domain, a diverse set of acquisition modalitiesĮxist, each with their own unique strengths and weaknesses. ![]()
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