Hyperspectral Semi-Supervised Classification Algorithm Based on Improved Ladder Network

Shihao Guan; Guang Yang; Shan Lu; Chunbai Jin; Hao Li; Zhaohong Xu

doi:10.3788/LOP202158.2428008

[1] Zhang H K, Li Y, Jiang Y N. Deep learning for hyperspectral imagery classification: the state of the art and prospects[J]. Acta Automatica Sinica, 44, 961-977(2018).

[2] Hughes G. On the mean accuracy of statistical pattern recognizers[J]. IEEE Transactions on Information Theory, 14, 55-63(1968).

[3] Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networks[J]. Science, 313, 504-507(2006).

[4] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 18, 1527-1554(2006).

[5] Shi F Y, Wang Z Y, Liang J. Fault classification based on semi-supervised dense ladder network[J]. CIESC Journal, 69, 3083-3091(2018).

[6] Hou L, Gui W. Research on the detection method of infrared breast cancer based on semi-supervised ladder network[J]. Information Technology and Informatization, 179-182(2018).

[7] Jin L Y, Guo S X, Ma S Z et al. Liver segmentation in CT image based on semi-supervised ladder network[J]. Journal of Jilin University (Information Science Edition), 36, 158-164(2018).

[8] Li X. High resolution SAR image classification based on curvelet DLN[D], 10-35(2018).

[9] Liu B, Yu X C, Zhang P Q et al. A semi-supervised convolutional neural network for hyperspectral image classification[J]. Remote Sensing Letters, 8, 839-848(2017).

[10] Fan H Y. Semi-supervised hyperspectral image classification based on deep learning[D], 7-20(2019).

[11] Guan S H, Yang G, Li H et al. Hyperspectral image classification based on 3-D convolutional recurrent neural network[J]. Laser Technology, 44, 485-491(2020).

[12] Hochreiter S, Schmidhuber J. Long short-term memory[J]. Neural Computation, 9, 1735-1780(1997).

[13] Fu C X. Research on semi-supervised learning with ladder network method and application[D], 6-15(2016).

[14] Valpola H. From neural PCA to deep unsupervised learning[EB/OL]. (2014-11-28)[2020-10-25]. http://arxiv.org/abs/1411.7783

[15] Rasmus A, Valpola H, Honkala M et al. Semi-supervised learning with ladder networks[EB/OL]. (2015-07-09)[2020-10-25]. https://arxiv.org/abs/1507.02672v2

[16] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]. //Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, December 3-6, 2012, Lake Tahoe, Nevada, United States. [S.l.: s.n.], 1106-1114(2012).

[17] He M Y, Li B, Chen H H. Multi-scale 3D deep convolutional neural network for hyperspectral image classification[C]. //2017 IEEE International Conference on Image Processing (ICIP), September 17-20, 2017, Beijing, China., 3904-3908(2017).