• Acta Optica Sinica
  • Vol. 37, Issue 11, 1128001 (2017)
Yongshuai Lu1, Yuanxiang Li1、*, Bo Liu2, Hui Liu2, and Linli Cui3
Author Affiliations
  • 1 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2 Room 15, Institute of Shanghai Satellite Engineering, Shanghai 201108, China
  • 3 Satellite Remote Sensing Application Technology Laboratory, Shanghai Institute of Meteorological Science, Shanghai 200030, China
  • show less
    DOI: 10.3788/AOS201737.1128001 Cite this Article Set citation alerts
    Yongshuai Lu, Yuanxiang Li, Bo Liu, Hui Liu, Linli Cui. Hyperspectral Data Haze Monitoring Based on Deep Residual Network[J]. Acta Optica Sinica, 2017, 37(11): 1128001 Copy Citation Text show less
    References

    [1] Wang Zhongting, Chen Liangfu, Li Qing et al. Simulation of multi-angle polarized reflectance of haze[J]. Acta Optica Sinica, 35, 0901002(2015).

    [2] Liu Jianguo, Gui Huaqiao, Xie Pinhua et al. Recent progress of atmospheric haze monitoring technology[J]. Journal of Atmospheric and Environmental Optics, 10, 93-101(2015).

    [3] Lee K H, Kim Y J, Kim M J. Characteristics of aerosol observed during two severe haze events over Korea in June and October 2004[J]. Atmospheric Environment, 40, 5146-5155(2006). http://www.sciencedirect.com/science/article/pii/S1352231006003633

    [4] Ghauri B. Estimating area covered by Haze and fog in Pakistan and India during winters[C]. IEEE Conference on Geoscience and Remote Sensing Symposium (IGARSS), 16445492(2016).

    [5] Dai Yangyang, Li Chengfan, Zhou Shiqiang et al. Haze monitoring of Shanghai area based on remote sensing[J]. Engineering of Surveying and Mapping, 29-32(2015).

    [6] Wang Zhongting, Li Qing, Li Shenshen et al. The monitoring of haze from HJ-1[J]. Spectroscopy and Spectral Analysis, 32, 775-780(2012).

    [7] Liu Yonghong. Research on haze identification in Beijing based on NOAA/AVHRR satellite data[J]. Meteorological Monthly, 40, 619-627(2014).

    [8] Niu Zhichun, Jiang Sheng, Li Xuwen et al. The remote sensing monitoring operational system of haze pollution in Jiangsu province[J]. Environmental Monitoring & Forewarning, 6, 15-18(2014).

    [9] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]. Neural Information Processing Systems Conference, 1097-1105(2012).

    [10] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. Proceedings of the IEEE conference on computer vision and pattern recognition, 580-587(2014).

    [11] Liu Dawei, Han Ling, Han Xiaoyong. High spatial resolution remote sensing image classification based on deep learning[J]. Acta Optica Sinica, 36, 0428001(2016).

    [12] Yin Baocai, Wang Wentong, Wang Lichun. Review of deep learning[J]. Journal of Beijing University of Technology, 1, 48-59(2015).

    [13] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770-778(2016).

    [14] Xu Wenbin, Zheng Xiaobing, Yi Weining. Cross-calibration method based on hyperspectral imager hyperion[J]. Acta Optica Sinica, 33, 0528002(2013).

    [15] Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift[C]. Proceedings of the 32 nd International Conference on Machine Learning, 37, 448-456(2015).

    [16] Hinton G E, Srivastava N, Krizhevsky A et al. Improving neural networks by preventing co-adaptation of feature detectors[J]. Computer Science, 3, 212-223(2012). http://www.oalib.com/paper/4059375

    [17] Glorot X, Bordes A, Bengio Y. Deep sparse rectifier neural networks[C]. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 15, 315-323(2011).

    [18] Bottou L. Large-scale machine learning with stochastic gradient descent[C]. 19 th International Conference on Computational Statistics, 177-186(2010).

    CLP Journals

    [1] Zhe An, Xiping Xu, Jinhua Yang, Yang Qiao, Yang Liu. Design of Augmented Reality Head-up Display System Based on Image Semantic Segmentation[J]. Acta Optica Sinica, 2018, 38(7): 0710004

    [2] Hanqing Sun, Yanwei Pang. An Neural Network Framework of Self-Learning Uncertainty[J]. Acta Optica Sinica, 2018, 38(6): 0620002

    Yongshuai Lu, Yuanxiang Li, Bo Liu, Hui Liu, Linli Cui. Hyperspectral Data Haze Monitoring Based on Deep Residual Network[J]. Acta Optica Sinica, 2017, 37(11): 1128001
    Download Citation