Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks

Y. Zhang, B. Guindon, and J. Cihlar, “An image transform to characterize and compensate for spatial variations in thin cloud contamination of landsat images,” Remote Sensing of Environment , vol. 82, no. 2, pp. 173 – 187, 2002

2002

Earlier work this paper cites.

R. R. Irish, J. L. Barker, S. Goward, and T. Arvidson, “Characterization of the landsat-7 etm+ automated cloud-cover assessment (acca) algorithm,” vol. 72, pp. 1179–1188, 10 2006

2006

Earlier work this paper cites.

V. Nair and G. E. Hinton, “Rectified linear units improve restricted boltzmann machines,” in Proceedings of the 27th international conference on machine learning (ICML-10) , 2010, pp. 807–814

2010

Earlier work this paper cites.

W. Waegeman, K. Dembczyńki, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the bayes-optimality of f-measure maximizers,” J. Mach. Learn. Res. , vol. 15, no. 1, pp. 3333–3388, Jan. 2014

2014

Earlier work this paper cites.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” CoRR , vol. abs/1412.6980, 2014

Original

2014

Cited alongside, same era.

Z. Zhu, S. Wang, and C. E. Woodcock, “Improvement and expansion of the fmask algorithm: cloud, cloud shadow, and snow detection for landsats 4–7, 8, and sentinel 2 images,” Remote Sensing of Environment , vol. 159, pp. 269 – 277, 2015

2015

Cited alongside, same era.

Y. Yuan and X. Hu, “Bag-of-words and object-based classification for cloud extraction from satellite imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 8, no. 8, pp. 4197–4205, Aug 2015

2015

Cited alongside, same era.

O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” CoRR , vol. abs/1505.04597, 2015

Original

2015

Cited alongside, same era.

Ö. Çiçek, A. Abdulkadir, S. S. Lienkamp, T. Brox, and O. Ronneberger, “3d u-net: Learning dense volumetric segmentation from sparse annotation,” in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 , S. Ourselin, L. Joskowicz, M. R. Sabuncu, G. Unal, and W. Wells, Eds. Cham: Springer International Publishing, 2016, pp. 424–432

2016

Later among the works it cites.

F. Xie, M. Shi, Z. Shi, J. Yin, and D. Zhao, “Multilevel cloud detection in remote sensing images based on deep learning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 10, no. 8, pp. 3631–3640, Aug 2017

2017

Later among the works it cites.

H. Wang, X. Yang, L. Ma, and R. Liang, “Fingerprint pore extraction using u-net based fully convolutional network,” in Biometric Recognition , J. Zhou, Y. Wang, Z. Sun, Y. Xu, L. Shen, J. Feng, S. Shan, Y. Qiao, Z. Guo, and S. Yu, Eds. Cham: Springer International Publishing, 2017, pp. 279–287

2017

Later among the works it cites.