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浏览/检索结果: 共12条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Classification of Volcanic Ash Cloud Based on Sensitivity Analysis and FCM 会议论文 2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017-01-01 作者:  Liu, Lan[1];  Li, Chengfan[2];  Lei, Yongmei[3];  Zhao, Junjuan[4];  Yin, Jingyuan[5] 收藏  |  浏览/下载：8/0  |  提交时间：2019/04/24 fuzzy C-means clustering(FCM)  MODIS image  classification  volcanic ash cloud  sensitivity analysis   Volcanic ash cloud detection from MODIS image based on CPIWS method 期刊论文 ACTA GEOPHYSICA, 2017, 卷号: 65, 页码: 151-163 作者:  Liu, Lan[1];  Li, Chengfan[2];  Lei, Yongmei[3];  Yin, Jingyuan[4];  Zhao, Junjuan[5] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/24 Remote sensing image  Principal component analysis (PCA)  Independent component analysis (ICA)  Support vector machine (SVM)  Volcanic ash cloud   A New Fuzzy Clustering Method With Neighborhood Distance Constraint for Volcanic Ash Cloud 期刊论文 IEEE Access, 2016, 卷号: 4, 页码: 7005-7013 作者:  Liu, Lan[1];  Li, Cheng-Fan[2];  Lei, Yong-Mei[3];  Zhao, Jun-Juan[4];  Yin, Jing-Yuan[5] 收藏  |  浏览/下载：10/0  |  提交时间：2019/04/26 Fuzzy C-mean clustering (FCM)  remote sensing classification  neighborhood distance constraint  volcanic ash cloud   Volcanic Ash Cloud Extraction for RS Image by Combining PCA, ICA and SVM Methods 会议论文 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 2016-01-01 作者:  Liu, Fei[1];  Li, Cheng-fan[2];  Yin, Jing-yuan[3] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/26 principal component analysis (PCA)  independent component analysis (ICA)  support vector machine (SVM)  information extraction  volcanic ash cloud   A New Detection Method of Volcanic Ash Cloud Based on MODIS Image 期刊论文 JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2015, 卷号: 43, 页码: 429-437 作者:  Yin, Jing-Yuan[1];  Dong, Jiang-Shan[2];  Li, Cheng-Fan[3];  Zhao, Jun-Juan[4] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/26 Satellite image  Eyjafjallajokull volcano  Principal component analysis (PCA)  Volcanic ash cloud   Thematic Information Detection for Remote Sensing Image Using SVM Kernel Functions 会议论文 IEEE International Conference on Signal Processing, Communications and Computing ICSPCC 2015, 2015-01-01 作者:  Liu, Lan[1];  Li, Chengfan[2];  Yin, Jingyuan[3];  Sun, Xiankun[4];  Zhao, Junjuan[5] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/26 remote sensing  support vector machine (SVM)  kernel function  thematic information  volcanic ash cloud   Detection of Sangeang Api Volcanic Ash Cloud Based on VBICA-SVM method 会议论文 International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII), 2015-01-01 作者:  Dong, Jiangshan[1];  Li, Chengfan[2];  Yin, Jingyuan[3];  Zhao, Junjuan[4];  Xue, Dan[5] 收藏  |  浏览/下载：7/0  |  提交时间：2019/04/26 Remote sensing image  Independent component analysis (ICA)  Support vector machine (SVM)  Volcanic ash cloud   Detection of Sangeang Api Volcano Ash Cloud Based on Remote Sensing Image 会议论文 1st International Conference on Information Science and Electronic Technology (ISET), 2015-01-01 作者:  Dong, Jiangshan[1];  Li, Chengfan[2];  Yin, Jingyuan[3];  Zhao, Junjuan[4];  Xue, Dan[5] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/26 remote sensing  split window light temperature difference  volcanic ash cloud  Sangeang Api volcano   Remote Sensing Monitoring of Volcanic Ash Clouds Based on PCA Method 期刊论文 ACTA GEOPHYSICA, 2015, 卷号: 63, 页码: 432-450 作者:  Li, Chengfan[1];  Dai, Yangyang[2];  Zhao, Junjuan[3];  Zhou, Shiqiang[4];  Yin, Jingyuan[5] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/26 remote sensing  principal component analysis (PCA)  volcanic ash cloud  monitoring  aviation safety   Diffusion Source Detection of Volcanic Ash Cloud Using MODIS Satellite Data 期刊论文 JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 卷号: 42, 页码: 611-619 作者:  Li, Cheng-Fan[1];  Dai, Yang-Yang[2];  Zhao, Jun-Juan[3];  Yin, Jing-Yuan[4];  Xue, Dan[5] 收藏  |  浏览/下载：6/0  |  提交时间：2019/04/30 MODIS image  Volcanic ash cloud  Brightness temperature  Diffusion source  Detection