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U.S. Department of Energy
Office of Scientific and Technical Information

Optimizing Convolutional Neural Networks for Cloud Detection

Conference ·
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1410196
Country of Publication:
United States
Language:
English

References (18)

Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion journal August 2016
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion conference June 2016
Optimizing deep learning hyper-parameters through an evolutionary algorithm
  • Young, Steven R.; Rose, Derek C.; Karnowski, Thomas P.
  • Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments - MLHPC '15 https://doi.org/10.1145/2834892.2834896
conference January 2015
Parallel Algorithm Configuration book January 2012
Scene Learning for Cloud Detection on Remote-Sensing Images journal August 2015
Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery journal May 2015
Selection of the 1.375-µm MODIS Channel for Remote Sensing of Cirrus Clouds and Stratospheric Aerosols from Space journal December 1995
Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images journal March 2015
Selection of the 1.375-µm MODIS Channel for Remote Sensing of Cirrus Clouds and Stratospheric Aerosols from Space journal December 1995
A unified architecture for natural language processing: deep neural networks with multitask learning conference January 2008
Gradient-based learning applied to document recognition journal January 1998
Face recognition: a convolutional neural-network approach journal January 1997
Convolutional Neural Networks for Sentence Classification conference January 2014
Going deeper with convolutions conference June 2015
Cloud detection of remote sensing images by deep learning
  • Shi, Mengyun; Xie, Fengying; Zi, Yue
  • IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) https://doi.org/10.1109/IGARSS.2016.7729176
conference July 2016
Bag-of-Words and Object-Based Classification for Cloud Extraction From Satellite Imagery journal August 2015
A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images journal August 2010
Multi-column deep neural networks for image classification conference June 2012

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