References
- AI Hub [Internet], http://www.aihub.or.kr
- Creation Guideline for Artificiall Intelligence Learning Data Set, NIA, 2021.
- Quality Management Guildeline for Artificial Intelligence Learning Data v1.0, NIA, 2021.
- 국립산림과학원, "디지털 항공영상을 이용한 대축척 임상도 제작 및 갱신방법," 2012.
- D. Lobo Torres, R. Queiroz Feitosa, P. Nigri Happ, L. Elena Cue La Rosa, J. Marcato Junior, J. Martins, P. Ola Bressan, W. N. Goncalves, and V. Liesenberg, "Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery," Sensors, Vol.20, No.2, pp.563, 2020.
- V. Andersson, Semantic Segmentation: Using Convolutional Neural Networks and Sparse Dictionaries. 2017.
- J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.3431-3440, 2015.
- A. Zlateski, R. Jaroensri, P. Sharma, and F. Durand, "On the importance of label quality for semantic segmentation," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1479-1487, 2018.
- L. C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam, "Encoder-decoder with atrous separable convolution for semantic image segmentation," ECCV, 2018.
- L. C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.40, No.4, pp.834-848, 2018. https://doi.org/10.1109/TPAMI.2017.2699184
- J. P. Papa, A.X. FalcaO, V. H. C. De Albuquerque, and J. M. R. Tavares, "Efficient supervised optimum-path forest classification for large datasets," Pattern Recognit, Vol.45, No.1, pp.512-520, 2012. https://doi.org/10.1016/j.patcog.2011.07.013
- L. G. Hafemann, L. S. Oliveira, and P. Cavalin, "Forest Species Recognition using Deep Convolutional Neural Networks," In 2014 22nd International Conference on Pattern Recognition, pp.1103-1107, 2014.
- P. P. de Bem, O. A. de Carvalho Junior, R. Fontes Guimaraes, and R. A. Trancoso Gomes, "Change detection of deforestation in the Brazilian Amazon using landsat data and convolutional neural networks," Remote Sensing, Vol.12, No.6, pp.901, 2020.