Mining High Resolution Earth Observation Data Cubes-Reference-Cited by-同舟云学术

Mining High Resolution Earth Observation Data Cubes

Published:2021-08-18 Issue: Volume: Page:
ISSN:
Container-title:17th International Symposium on Spatial and Temporal Databases
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Author:

Zuefle Andreas¹,Wessels Konrad¹,Pfoser Dieter¹

Affiliation:

1. George Mason University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469830.3470917

Reference32 articles.

1. U.S. Geological Survey (USGS) & National Aeronautics and Space Administration (NASA). Accessed 07/15/2021. Land Processes Distributed Active Archive Center (LP DAAC). https://lpdaac.usgs.gov. (Accessed 07/15/2021). U.S. Geological Survey (USGS) & National Aeronautics and Space Administration (NASA). Accessed 07/15/2021. Land Processes Distributed Active Archive Center (LP DAAC). https://lpdaac.usgs.gov. (Accessed 07/15/2021).

2. Futuregan: Anticipating the Future Frames of Video Sequences Using Spatio-Temporal 3d Convolutions in Progressively Growing Gans. ISPRS Photogrammetry;Aigner S;Remote Sensing and Spatial Information Sciences,2019

3. SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework

4. Graph Convolutional Networks with Kalman Filtering for Traffic Prediction

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