1 |
Hou Shuwei, Sun Wenfang, Zheng Xiaosong. Overview of cloud detection methods in remote sensing images[J]. Space Electronic Technology, 2014, 11(3): 68-77.
|
1 |
侯舒维, 孙文方,郑小松.遥感图像云检测方法综述[J].空间电子技术, 2014, 11(3): 68-77.
|
2 |
Liu P. Review on the technology of threshold selection in image segmentation[D]. Beijing:Institute of Computing Technology, Chinese Academy of Science, 2004.
|
3 |
Rossow W B, Schiffer R A. ISCCP cloud data products[J]. Bulletin of the American Meteorological Society,1991,27(1): 855-863.
|
4 |
Saunders R W, Kriebel K T. An improved method of detecting clear sky and cloudy radiances from AVHRR data[J]. International Journal of Remote Sensing, 1988,9(1):123-150.DOI: .
doi: 10.1080101431168808954841
|
5 |
Stowe L L, Davis P A, McClain P E. Scientific basis and initial evaluation of the CLAVR21 global clear/cloud classification algorithm for advanced very high resolution radiometer[J]. Atmos and Oceanic Technology, 1999,16(6):656-681.DOI: .
doi: 10.1175/15200426(2001)018<0169:APLCSC>2.0.CO;2
|
6 |
Ding Baohui, Li Wenchao, Wang Fuming. Analysis of fractal image and design of fractal dimension calculation program[J]. Journal of University of Science and Technology Beijing, 1999, 21(3): 304-307.
|
6 |
丁宝华,李文超,王福明.分形图像分析与分形维数计算程序的设计[J],北京科技大学学报,1999,21(3):304-307.
|
7 |
Wang Quan, Sun Lin, Wei Jing, et al. Improvement of universal dynamic threshold cloud detection algorithm and its application in high resolution satellite[J]. Acta Optica Sinica, 2018, 38(10): 1028002-1-1028002-10.王权,孙林,韦晶,等.动态阈值云检测算法改进及在高分辨率卫星上的应用[J].光学学报,2018,38(10):1028002-1
doi: 10.3788/AOS201838.1028002
|
7 |
-1028002-10.DOI: .
doi: 10.3788/AOS201838.1028002
|
8 |
Xiang Peisu. Cloud detection algorithm for MODIS images based on K-means clustering and Otsu method[J]. Geospatial Information,2020,18(4):31-34.
|
8 |
向培素.Kmeans与Otsu相结合的MODIS云检测算法[J].地理空间信息,2020, 18(4):31-34.
|
9 |
Wang Shuhua, Zhao Yuming, Zhou Xiaosi, et al. Automatic classification of cloud and mist based on weighted fractal dimension[J].Infrared and Laser Engineering,2020,31(1):18-22.
|
9 |
王淑华,赵宇明,周小四,等.基于灰度连通域加权分数维的云雾自动分离算法[J].红外与激光工程,2020,31(1):18-22.
|
10 |
Liu Q, Hu H, Sha D X, et al. Hyperspectral infrared sounder cloud detection using deep neural network model[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5500705. DOI: .
doi: 10.1109/LGRS.2020.3023683
|
11 |
Wang Yongji, Ming Yanfang, Liang Tianchen, et al. Research on GF-6 WFV data cloud detection based on improved LCCD algorithm[J]. Acta Optica Sinica, 2020, 40(16): 1628001.王永吉,明艳芳,梁天辰,等.基于改进的LCCD算法的GF-6 WFV数据云检测研究[J].光学学报, 2020, 40(16): 1628001.DOI: .
doi: 10.3788/ AOS202040. 1628 001
|
12 |
Hu Xueqian, Sun Lin, Sui Songman, et al .Landsat-8 OLI cloud and snow recognition based on improved CDAG cloud detection algorithm[J].Radio Engineering, 2021, 51(12):1461-1470.
|
12 |
胡学谦,孙林,隋淞蔓,等.基于改进 CDAG云检测算法的Landsat-8 OLI云雪识别[J].无线电工程,2021,51(12):1461-1470.
|
13 |
Liu Jun, Zheng Qunfeng, Xing Xiuwei, et al. Automatic and accurate cloud detection for Fengyun meteorological satellite[J]. Bulletin of Surveying and Mapping,2019(12): 45-49.
doi: 10.13474/j.CNki.11-2246.2019.0384
|
13 |
刘军,郑群峰,刑秀为,等.风云气象卫星影像自动精细云检测[J].测绘通报,2019(12):45-49. DOI: .
doi: 10.13474/j.CNki.11-2246.2019.0384
|
14 |
Zhong Jing, Kang Yifei, Han Yu, et al. Automatic cloud detection of GF-1 satellite imagery[J]. Geospatial Information, 2018, 16(4): 52-56.
|
14 |
钟静,康一飞,韩昱,等.高分一号卫星影像自动云检测[J]. 地理空间信息, 2018, 16 (4): 52-56.
|
15 |
Kittler J, Pairman D. Contextual pattern recognition applied to cloud detection and identification[J]. IEEE Transaction on Geoscience and Remote Sensing, 1985, 23(6): 855-863. DOI: .
doi: 10.1109/TGRS.1985.289471
|
16 |
Mandelbrotb B. The fractal geometry of nature[M]. New York: W H Freeman and Co, 1982.
|
17 |
Christodoulou C I, Michaelides S C, Pattichis C S. Multifeature texture analysis for the classification of clouds in satellite imagery[J]. IEEE Transaction on Geoscience and Remote Sensing, 2003, 41(11): 2662-2668. DOI: .
doi: 10.1109/TGRS.2003.815404
|
18 |
Cao Qiong, Zheng Hong, Li Xingshan. A method for detecting cloud in satellite remote sensing image based on texture[J]. Acta Aeronautica et Astronautica Sinica, 2007, 28(3): 661-666.
|
18 |
曹琼,郑红,李行善.一种基于纹理特征的卫星遥感图像云探测方法[J].航空学报,2007,28(3): 661-666.
|
19 |
Li Bingchun. Texture feature retrieval and applications using gray Co-occurrence matrices[J]. Journal of Kashgar Teachers College,2006,27(6):35-37.
|
19 |
李丙春.基于共生矩阵的图像纹理特征提取及应用[J].喀什师范学院学报,2006,27(6):35-37.
|
20 |
Zhou Quan. The Classification of remote sensing cloud images based on multiscale features[D]. Hefei: University of Science and Technology of China, 2010.
|
20 |
周全. 基于多尺度特征的遥感云图分类[D].合肥:中国科技大学, 2010
|
21 |
Ding Haiyan. A study on automatic cloud detection for intelligent satellite[D]. Beijing: Graduate University of the Chinese Academy of Sciences, 2011.
|
21 |
丁海燕.智能小卫星自动云判方法研究[D].北京:中国科学院研究生院,2011.
|
22 |
Weng Liguo, Liu Wanan, Shi Bicheng, et al. Cloud/Snow classification based on multi-dimensional multi-grained cascade forest in plateau region[J]. Journal of Computer Applications, 2018, 38(8): 2218-2223.
|
22 |
翁理国,刘万安,施必成,等.基于多维多粒度级联森林的高原地区云雪分类[J].计算机应用, 2018, 38(8): 2218-2223.
|
23 |
Stowe L L. Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data[J]. Advances in Space Research, 1991, 11(3): 51-54.
|
24 |
Simpson J J, Gobat J J. Improved cloud detection in GOES scenes over the oceans[J]. Remote Sensing of Environment, 1995, 52(2): 79-94.
|
25 |
Gao Jun, Jing Yiguo. A fully convoluted neural network-based cloud detection method for satellite remote sensing images[J]. Infrared Technology, 2019, 41(7): 607-615.
|
25 |
高军,荆益国.基于全卷积神经网络的卫星遥感图像云检测方法[J].红外技术,2019,41(7): 607-615.
|
26 |
Qu Jianhua, Yan Junjie, Xue Juan, et al. Research on the cloud detection model of FY3D/MESI and EOS/MODIS based on deep learning[J]. Journal of Meteorology and Environment, 2019, 35(3): 87-93.
|
26 |
瞿建华,鄢俊洁,薛娟,等. 基于深度学习的FY3D/MERSI和EOS/MODIS云检测模型研究[J].气象与环境学报,2019,35(3):87-93.
|
27 |
Cao Hui, Weng Liguo, Zhang Dezheng. Cloud and snow image detection in Qinghai-Tibet Area based on dense dilated convolution neural network[J]. Computer Measurement & Control, 2019, 27(9): 169-173.
|
27 |
曹辉,翁理国,张德正.基于密集连接空洞卷积神经网络的青藏地区云雪图像分类[J].计算机测量与控制, 2019, 29(9): 169-173.
|
28 |
Qiao H W, Zhang P, Li Z, et al. A new geostationary satellite-based snow cover recognition method for FY-4Y AGRI[J]. IEEE J-STARS,2021,14:11372-11385. DOI: .
doi: 10.1109/JSTARTS.2021.3125015
|
29 |
Xu M, Deng F R, Jia S, et al. Attention mechanism-based generative adversarial networks for cloud removal in Landsat images[J].Remote Sensing of Environment,2022,271:112902. DOI: .
doi: 10.1016/j.rse.2022.112902
|
30 |
Xiang M X, Li Y X, Fei G Q, et al. Development of cloud recognition system for ground-based cloud images based on machine vision[C]∥ Proceedings of the 5th Advanced Information Technology, Electronic and Automation Control Conference(IAEAC),2021:98-101. DOI: .
doi: 10.1109/IAEAC 50856.2021.9391069
|
31 |
Sergey I, Christian S. Batch normalization: accelerating deep network training by reducing internal covariate shift[C]∥ Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015: 448-456.
|
32 |
Nair V, Hinton G E. Rectified linear units improve restricted Boltzmann machine[C]∥ Proceedings of the 27th International Conference on Machine Learning(ICML),2010,47:16-29.
|
33 |
Huang G, Liu Z, Weinberger K Q, et al. Densely connected convolutional networks[C]∥ Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2017: 2261-2269.
|
34 |
Srivastava N, Hinton G, Krizhevsky A, et al. Dropout: A simple way to prevent neural networks from overfitting[J]. Journal of Machine Learning Research,2014,15(1):1929-1958. DOI: .
doi: 10.5555/2627435.2670313
|
35 |
Mikolov T, Chen K, Corrado G, et al. Efficient estimation of word representations in vector space[C]∥ Proceedings of the 1st International Conference on Learning Representations (ICLR), 2013: 1-12.
|
36 |
Hensman J, Fusi N, Lawrence N D. Gaussian processes for big data[C]∥ Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013:282-290.
|
37 |
Zhang Zhi, Dong Fuan, Wu Youli. Estimation of fractal dimension for 2-D gray image[J]. Computer Applications, 2005, 25(12): 2853-2855.
|
37 |
张志,董福安,伍友利.二维灰度图像的分形维数计算[J].计算机应用,2005,25(12):2853-2855.
|
38 |
Shan Na, Zheng Tianyao, Wang Zhensong. High-speed and high-accuracy algorithm for cloud detection and its application[J]. Journal of Remote Sensing, 2009, 13(6): 1138-1155.
|
38 |
单娜,郑天垚,王贞松.快速高准确度云检测算法及其应用[J].遥感学报,2009,13(6):1138-1155.
|
39 |
Chen Qiang, Tian Jie, Huang Haining. Study on SAS image segmentation using SVM based on statistical and texture features[J]. Chinese Journal of Scientific Instrument, 2013, 34(6): 1413-1420.
|
39 |
陈强,田杰,黄海宁,等.基于统计和纹理特征的SAS图像SVM分割研究[J].仪器仪表学报, 2013, 34 (6): 1413-1420.
|
40 |
Han Dongchen, Shang Yaceng, Lai Yueshen. Illumination-Invariant image for shadow removal method[J]. Journal of Xi’an Technological University,2021,41(6):691-695.
|
40 |
韩东辰,尚雅层,来跃深.一种光照无关图阴影去除方法[J].西安工业大学学报, 2021, 41 (6): 691-695.
|
41 |
Hong D F, Gao L R, Yokoya N,et al. More diverse means better: Multimodal deep learning meets remote-sensing imagery classification[J].IEEE Transactions on Geoscience and Remote,2021,59(5):4340-4354.DOI: .
doi: 10.1109/TGRS.2020.3016820
|