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This paper describes our approach to the DSTL Satellite Imagery Feature Detection challenge run by Kaggle.
Rouse Jr, et al. ”Monitoring vegetation systems in the Great Plains with ERTS.” (1974)
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Padwick, Chris, et al. ”WorldView-2 pan-sharpening.” Proceedings of the ASPRS 2010 Annual Conference, San Diego, CA, USA. Vol. 2630. 2010
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Cammarano, Davide, et al. ”Use of the canopy chlorophyl content index (CCCI) for remote estimation of wheat nitrogen content in rainfed environments.” Agronomy journal 103.6 (2011): 1597-1603
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Long, Jonathan, Evan Shelhamer, and Trevor Darrell. ”Fully convolutional networks for semantic segmentation.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015
2015
Cited alongside, same era.
Everingham, Mark, et al. ”The pascal visual object classes challenge: A retrospective.” International Journal of Computer Vision 111.1 (2015): 98-136
2015
Cited alongside, same era.
Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. ”U-net: Convolutional networks for biomedical image segmentation.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer International Publishing, 2015
2015
Cited alongside, same era.
World View-3 Satellite Sensor Specifications. http://www.satimagingcorp.com/
Cited in the paper.
https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection
Cited in the paper.
https://en.wikipedia.org/wiki/Dihedral_group
Cited in the paper.
Dozat, Timothy. Incorporating Nesterov momentum into Adam. Stanford University, Tech. Rep., 2015.[Online]. Available: http://cs229. stanford. edu/proj2015/054 report. pdf, 2015
2015
Later among the works it cites.
2015
Later among the works it cites.
2015
Later among the works it cites.
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