Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111001(2019)
Multimodal Remote Sensing Image Classification with Small Sample Size Based on High-Level Feature Fusion
[2] Guo Y, Jia X, Remote Sensing, Spatial Information Sciences. IV-, 4/W2, 161-165(2017).
Guo Y, Jia X, Remote Sensing, Spatial Information Sciences. IV-, 4/W2, 161-165(2017).
[10] Simonyan K. -04-10)[2018-10-20]. https:∥arxiv., org/abs/1409, 1556(2015).
Simonyan K. -04-10)[2018-10-20]. https:∥arxiv., org/abs/1409, 1556(2015).
[11] Eitel A, Springenberg J T, Spinello L et al. Multimodal deep learning for robust RGB-D object recognition. [C]∥2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28-October 2, 2015, Hamburg, Germany. New York: IEEE, 15666832(2015).
Eitel A, Springenberg J T, Spinello L et al. Multimodal deep learning for robust RGB-D object recognition. [C]∥2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28-October 2, 2015, Hamburg, Germany. New York: IEEE, 15666832(2015).
[12] Xu Y, Du J, Dai L R et al. Cross-language transfer learning for deep neural network based speech enhancement. [C]∥The 9th International Symposium on Chinese Spoken Language Processing, September 12-14, 2014, Singapore, Singapore. New York: IEEE, 14700579(2014).
Xu Y, Du J, Dai L R et al. Cross-language transfer learning for deep neural network based speech enhancement. [C]∥The 9th International Symposium on Chinese Spoken Language Processing, September 12-14, 2014, Singapore, Singapore. New York: IEEE, 14700579(2014).
[14] Ahmed A, Yu K, Xu W et al. Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks[M]. ∥Forsyth D, Torr P, Zisserman A. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 69-82(2008).
Ahmed A, Yu K, Xu W et al. Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks[M]. ∥Forsyth D, Torr P, Zisserman A. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 69-82(2008).
[16] Ding X, Jiang Y, Huang Y et al. Pan-sharpening with a Bayesian nonparametric dictionary learning model. [C]∥Artificial Intelligence and Statistics. [S.l.]: [s.n.], 176-184(2014).
Ding X, Jiang Y, Huang Y et al. Pan-sharpening with a Bayesian nonparametric dictionary learning model. [C]∥Artificial Intelligence and Statistics. [S.l.]: [s.n.], 176-184(2014).
[17] Hane C, Zach C, Cohen A et al. Joint 3D scene reconstruction and class segmentation. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 13824292(2013).
Hane C, Zach C, Cohen A et al. Joint 3D scene reconstruction and class segmentation. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 13824292(2013).
[21] Couprie C, Farabet C, Najman L et al. -03-14)[2018-10-20]. https:∥arxiv., org/abs/1301, 3572(2013).
Couprie C, Farabet C, Najman L et al. -03-14)[2018-10-20]. https:∥arxiv., org/abs/1301, 3572(2013).
[25] Zhou R T, Li Z P, Wu C et al. Buddy routing: a routing paradigm for NanoNets based on physical layer network coding. [C]∥2012 21st International Conference on Computer Communications and Networks (ICCCN), July 30-August 2, 2012, Munich, Germany. New York: IEEE, 12965366(2012).
Zhou R T, Li Z P, Wu C et al. Buddy routing: a routing paradigm for NanoNets based on physical layer network coding. [C]∥2012 21st International Conference on Computer Communications and Networks (ICCCN), July 30-August 2, 2012, Munich, Germany. New York: IEEE, 12965366(2012).
Get Citation
Copy Citation Text
Qi He, Yao Li, Wei Song, Dongmei Huang, Shengqi He, Yanling Du. Multimodal Remote Sensing Image Classification with Small Sample Size Based on High-Level Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111001
Category: Image Processing
Received: Nov. 7, 2018
Accepted: Dec. 25, 2018
Published Online: Jun. 13, 2019
The Author Email: Dongmei Huang (dmhuang@shou.edu.cn)