Cloud detection of remote sensing images by deep learning

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 701-704

  Shi, Mengyun ^a   Xie, Fengying ^a   Zi, Yue ^a   Yin, Jihao ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Cloud Detection; Convolutional Neural Networks; Deep Learning; Superpixel

Indexed keywords

EID: 85007504703     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729176     Document Type: Conference Paper

References (11)

1. J. Cihlar and J. Howarth, "Detection and removal of cloud contamination from AVHRR images, " IEEE Trans Geosci Remote Sens, vol. 32, no. 3, pp. 583-589, May 1994.
2. P. Li, L. Dong, H. Xiao, M. Xu., "A cloud image detection method based on SVM vector machine. " Neurocomputing, vol. 169, pp. 34-42, 2015.
3. Q. Zhang and C. Xiao, "Cloud Detection of RGB Color Aerial Photographs by Progressive Refinement Scheme, " IEEE Trans Geosci Remote Sens, vol. 52, no. 11, pp. 7264-7275, Nov. 2014.
4. Z. An, Z. Shi, "Scene Learning for Cloud Detection on Remote-Sensing Images, " IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, vol. 8, no. 8, pp. 4206-4222, Nov. 2015.
5. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua and S. Succtrunk, "SLIC superpixels compared to state-of-the-art superpixel methods, " IEEE Trans Pattern Anal Mach Intell, vol. 34, no. 11, pp. 2274-2282, May. 2012.
6. A. Krizhevsky, I. Sutskever and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " Adv. neural inf. proces. syst., pp. 1097-1105, 2012.
7. R. Girshick, J. Donahue, T. Darrell and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation, " Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit, pp. 580-587, 2014.
8. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. MM-Proc. ACM Conf. Multimedia, Nov. 2014.
9. T. Kanungo, D. M. Mount, N. S. Netanyahu, et al. "An efficient k-means clustering algorithm: Analysis and implementation, " IEEE Trans Pattern Anal Mach Intell, vol. 24, no. 7, pp. 881-892, Jul. 2002.
10. D. Comaniciu, P. Meer, Comaniciu, Dorin, and Peter Meer. "Mean shift analysis and applications, " Computer Vision, 1999. Proc IEEE Int Conf Comput Vision, vol. 2., 1999.
11. L. A. Vese, T. F. Chan. "A multiphase level set framework for image segmentation using the Mumford and Shah model, " Int J Comput Vision, vol. 50, no. 3, pp. 271-293, Dec. 2002.