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《中国环境科学》刊发论文获评“第二届中国科协优秀科技论文”

2022-05-23 来源:小侦探旅游网
5172 中 国 环 境 科 学 39卷

[27] Kanopoulos N, Vasanthavada N, Baker R L. Design of an image edge

detection filter using the Sobel operator [J]. IEEE Journal of Solid-State Circuits, 1988,23(2):358-367.

[28] Craig W B, Stanley H W. Three-dimensional mise-à-la-masse

modeling applied to mapping fracture zones [J]. Geophysics, 1986, 51(1):98-113.

[29] 毕 卓,韩 冰.抗噪Roberts算子边沿检测器 [J]. 计算机技术与发

展, 2016,23(6):258-261.

Bi Z, Han B. Anti-noise roberts edge detector [J]. Computer Technology and Development, 2016,23(6):258-261.

[30] Perona P, Malik J. Scale-space and edge detection using anisotropic

diffusion [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990,12(7):629-639.

[31] Abdou I E, Pratt W K. Quantitative design and evaluation of

enhancement/thresholding edge detectors [J]. Proceedings of the IEEE, 1979,67(5):753-763.

[32] Peil T, Malah D. A study of edge detection algorithms [J]. Computer

Graphics and Image Processing, 1982,20(1):1-21.

[33] Butler S L, Sinha G. Forward modeling of applied geophysics methods

using comsol and comparison with analytical and laboratory analog models [J]. Computers & Geosciences, 2012,42:168-176.

[34] 肖宏跃,雷 宛.地电学教程 [M]. 北京:地质出版社, 2008:98-163.

Xiao H Y, Lei W. Geoelectrical tutorial [M]. Beijing: Geological Publishing House, 2008:150-163.

[19] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for

biomedical image segmentation [C]// Medical Image Computing and Computer-Assisted Intervention, 2015:234-241.

[20] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with

deep convolutional neural networks [J]. Advances in Neural Information Processing Systems, 2012,25(2):1097–1105.

[21] Burger H C, Schuler C J, Harmeling S. Image denoising: Can plain

neural networks compete with BM3D?[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2012:2392–2399.

[22] Kyong H J, McCann M T, Froustey E, et al. Deep convolutional neural

network for inverse problems in imaging [J]. IEEE Trans Image Process, 2017,26(9):4509-4522.

[23] 伍广明,陈 奇,Ryosuke S,等.基于U型卷积神经网络的航空影像建

筑物检测 [J]. 测绘学报, 2018,47(6):864-872.

Wu G M, Chen Q, Ryosuke S, et al. High precision building detection from aerial imagery using a U-Net like convolutional architecture [J]. Acta Geodaetica et Cartographica Sinica, 2018,47(6):864-872. [24] Jeong C, Yang H S, Moon K. A novel approach for detecting the

horizon using a convolutional neural network and multi-scale edge detection [J]. Multidimensional Systems and Signal Processing, 2018: 1-18.

[25] Wang W, Lu X B, Song J J, et al. A two-column convolutional neural

network for facial point detection[C]// International Conference on Progress in Informatics and Computing, 2016.

[26] Vardhana M, Arunkumar N, Lasrado S, et al. Convolutional neural

network for bio-medical image segmentation with hardware acceleration [J]. Cognitive Systems Research, 2018,50:10-14.

作者简介:能昌信(1965-),男,山东临沂人,教授,博士,研究方向为环境

监测技术.发表论文60余篇.

《中国环境科学》刊发论文获评“第二届中国科协优秀科技论文”

《中国环境科学》编辑部2017年8~9月组织权威专家,从2013~2017年发表在具有CN号的中国科技期刊上的环境学科所有论文中遴选优秀论文,推荐参加“第二届(2017年度)中国科协优秀科技论文遴选计划”,并组织专家参与线下评审会,最终《中国环境科学》2014年6期刊发的薛文博、付飞、王金南、唐贵谦、雷宇、杨金田、王跃思等人的文章“中国PM2.5跨区域传输特征数值模拟研究”获评“第二届中国科协优秀科技论文”,是环境学科唯一入选的一篇论文,论文作者获得奖金一万元.

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