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Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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TOTAL DOCUMENTS
7
(FIVE YEARS 7)
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0
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Published By ACM
9781450381628
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Latest Documents
Most Cited Documents
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High-dimensional spatial simulation ensemble analysis
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429344
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2020
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Author(s):
Mai Dahshan
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Leanna House
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Nicholas Polys
Keyword(s):
High Dimensional
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Spatial Simulation
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Ensemble Analysis
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Giving meaning to unsupervised EO change detection rasters
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429347
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2020
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Author(s):
Jordane Dorne
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Nathalie Aussenac-Gilles
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Catherine Comparot
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Cassia Trojahn
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Romain Hugues
Keyword(s):
Change Detection
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Creating cloud-free satellite imagery from image time series with deep learning
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429345
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2020
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Author(s):
Stefan Oehmcke
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Tzu-Hsin Karen Chen
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Alexander V. Prishchepov
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Fabian Gieseke
Keyword(s):
Time Series
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Deep Learning
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Satellite Imagery
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A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429349
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2020
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Author(s):
Yulin Cao
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Butros M. Dahu
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Grant J. Scott
Keyword(s):
Remote Sensing
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Visual Feature
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Remote Sensing Imagery
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Feature Database
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Comparative analysis of deep transfer learning performance on crop classification
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3431369
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2020
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Author(s):
Krishna Karthik Gadiraju
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Ranga Raju Vatsavai
Keyword(s):
Comparative Analysis
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Transfer Learning
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Learning Performance
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Crop Classification
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Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429346
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2020
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Author(s):
Ksenia D. Mukhina
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Alexander A. Visheratin
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Denis Nasonov
Keyword(s):
Neural Networks
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High Resolution
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Convolutional Neural Networks
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Context Transfer
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Scalable unsupervised multi-criteria trajectory segmentation and driving preference mining
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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10.1145/3423336.3429348
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2020
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Author(s):
Florian Barth
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Stefan Funke
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Tobias Skovgaard Jepsen
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Claudius Proissl
Keyword(s):
Trajectory Segmentation
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