[1] 李旭红.构建符合我国国情的综合性环境税收体系.中国财政, 2017, 736(11): 26-28 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgcz201711014

Li Xu-Hong. A comprehensive environmental taxation system construction in line with Chinese national conditions. China State Finance, 2017, 736(11): 26-28 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgcz201711014
[2] Turner M C, Krewski D, Diver W R, et al. Ambient air pollution and cancer mortality in the cancer prevention study Ⅱ. Environmental Health Perspectives, 2017, 125(8): 087013-1-087013-10 doi: 10.1289/EHP1249
[3] 郭尚书.基于数字摄像的大气能见度检测方法与系统实现.华中科技大学, 中国, 2014

Guo Shang-Shu. Visibility Detection Method and System Design Based on Digital Photography[Master thesis]. Huazhong University of Science and Technology, China, 2014
[4] 卓力, 胡笑尘, 姜丽颖, 等.一种基于暗原色先验的空气质量指数估计方法: CN. CN104809467A, 2015

Zhuo Li, Hu Xiao-Chen, Jiang Li-Ying, et al. A Method of Air Quality Index Estimation Based on Dark Channel Prior: CN. CN104809467A, 2015
[5] Zhang Z, Ma H, Fu H, et al. Outdoor air quality inference from single image. In: Proceedings of the 2015 International Conference on Multimedia Modeling. Sydney, Australia: MMM, 2015, 8936: 13-25
[6] Zamora E. Using image processing techniques to estimate the air quality. McNair Scholars Research Journal, 2012, 189-194
[7] Wong C J, Matjafri M Z, Abdullah K, et al. Temporal and spatial air quality monitoring using internet surveillance camera and ALOS satellite image. In: Proceedings of the 2009 IEEE Aerospace Conference Proceedings. Big Sky, MT, USA: IEEE, 2009. 1-7
[8] Zhang X, Liu M C. System and method for image quality enhancement by reducing the effects of air pollution and haze: US. US8204329, 2012
[9] Yang W M, Chen X, Liao Q M. Air quality evaluation based on image defogging. Applied Mechanics and Materials, 2014, 513-517: 3077-3080 doi: 10.4028/www.scientific.net/AMM.513-517.3077
[10] Yang W M, Chen X, Liao Q M. Air quality evaluation based on local normalized image contrast. Applied Mechanics and Materials, 2014, 511-512: 413-416 doi: 10.4028/www.scientific.net/AMM.511-512.413
[11] Wang H, Yuan X, Wang X, et al. Real-time air quality estimation based on color image processing. In: Proceedings of the 2015 Visual Communications and Image Processing Conference. Singapore: IEEE, 2015. 326-329
[12] Wong C J, Lim H S, Matjafri M Z, et al. Image data transfer over the internet protocol for air quality studies. In: Proceedings of the 2006 SPIE Defense and Security Symposium. Stockholm, Sweden: SPIE, 2006. 6233: 62330Z–62330Z-14
[13] Saleh N M, Lim H S, Matjafri M Z, et al. Air quality derivation utilizing Landsat TM image over Penang, Malaysia. In: Proceedings of the Third International Conference on Recent Advances in Space Technologies. Istanbul, Turkey: IEEE, 2007. 259-263
[14] Xu-Wen L I, Niu Z C, Wang J S, et al. Scene visibility retrieved from remotely sensed image and its correspondence with ground air quality monitoring data. Administration and Technique of Environmental Monitoring, 2011, 23(1): 20-27 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hjjcglyjs201101005
[15] Lim H S, Matjafri M Z. Retrieval of air quality information using image processing technique. In: Proceedings of the 2007 SPIE - The International Society for Optical Engineering. San Diego, USA: SPIE, 2007. 6541(107): 287-291
[16] Zhan Y, Zhang R, Wu Q, et al. A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images. In: Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing. Shanghai, China: IEEE, 2016. 1095-1099
[17] Wong C J, Matjafri M Z, Abdullah K, et al. Using image processing technique for the studies on temporal development of air quality. In: Proceedings of the 2007 Conference on Computer Graphics, Imaging and Visualisation. Bangkok, Thailand: IEEE, 2007. 287-291
[18] Feng C, Wang W, Tian Y, et al. Estimate air quality based on mobile crowd sensing and big data. In: Proceedings of the 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks. Macau, China: IEEE, 2017. 1-9
[19] Liu X, Song Z, Ngai E, et al. PM2.5 monitoring using images from smartphones in participatory sensing. In: Proceedings of the 2015 Computer Communications Workshops. Hong Kong, China: IEEE, 2015. 630-635
[20] He K, Sun J, Tang X. Single image haze removal using dark channel prior. In: Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009. 1956-1963
[21] Chen X, Li Y, Li D. An efficient method for air quality evaluation via ANN-based image recognition. In: Proceedings of theSecond International Conference on Artificial Intelligence and Industrial Engineering. Beijing, China: AⅡE, 2016. 253-256
[22] Pan Z, Yu H, Miao C, Leung C. Crowdsensing air quality with camera-enabled mobile devices. In: Proceedings of the Twenty-Ninth AAAI Conference on Innovative Applications. San Francisco, USA: AAAI, 2017. 4728-4733
[23] Sekine Y, Katori R. Indoor air quality monitoring via it network colorimetric monitoring of formaldehyde in indoor environment using image transmission of mobile phone. In: Proceedings of the 2009 ICCAS-SICE. Fukuoka, Japan: ICCAS-SICE, 2009. 4041-4046
[24] Liu L, Liu B, Huang H, et al. No-reference image quality assessment based on spatial and spectral entropies. Signal Processing Image Communication, 2014, 29(8): 856-863 doi: 10.1016/j.image.2014.06.006
[25] Gabarda S, Cristóbal G, Goel N. Anisotropic blind image quality assessment: survey and analysis with current methods. Journal of Visual Communication and Image Representation, 2018, 52: 101-105 doi: 10.1016/j.jvcir.2018.02.008
[26] 徐琳, 陈强, 汪青.色彩熵在图像质量评价中的应用.中国图象图形学报, 2015, 20(12): 1583-1592 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgtxtxxb-a201512003

Xu Lin, Chen Qiang, Wang Qing. Application of color entropy to image quality assessment. Journal of Image and Graphics, 2015, 20(12): 1583-1592 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgtxtxxb-a201512003
[27] Oliva A, Torralba A. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 2001, 42(3): 145-175 doi: 10.1023/A:1011139631724
[28] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. In: Proceedings of the 2012 International Conference on Neural Information Processing Systems. Doha, Qatar: ICONIP, 2012. 1097-1105