测绘通报 ›› 2016, Vol. 0 ›› Issue (9): 60-62,72.doi: 10.13474/j.cnki.11-2246.2016.0293
Previous Articles Next Articles
XIE Fuding, LI Zhuang
Received:
2016-01-14
Revised:
2016-05-27
Online:
2016-09-25
Published:
2016-09-28
CLC Number:
XIE Fuding, LI Zhuang. Hyperspectral Image Classification Based on Improved Semi-supervised Fuzzy C-means Algorithm[J]. 测绘通报, 2016, 0(9): 60-62,72.
[1] SILVA T C, ZHAO L. Semi-supervised Learning Guided by the Modularity Measure in Complex Networks[J]. Neurocomputing, 2012,78(1):30-37. [2] MU OZ-MARI J,BOVOLO F,GO MEZ-CHOVA L,et al. Semisupervised One-class Support Vector Machines for Classification of Remote Sensing Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010,48(8):3188-3197. [3] 赵冬泉, 党安荣, 陈吉宁. 监督分类方法在图片资料专题信息提取中的应用研究[J]. 测绘通报, 2006(11):32-34. [4] 贾永红. 人工神经网络在多源遥感影像分类中的应用[J]. 测绘通报, 2000(7):7-8. [5] ZENG S, TONG X, SANG N, et al. A Study on Semi-supervised FCM Algorithm[J]. Knowledge and Information Systems, 2013,35(3):585-612. [6] HAMASUNA Y, ENDO Y. On Semi-supervised Fuzzy C-means Clustering for Data with Clusterwise Tolerance by Opposite Criteria[J]. Soft Computing, 2013,17(1):71-81. [7] DUNN J C. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-separated Clusters[J]. J.Cybern, 1974,3(3):32-57. [8] PEDRYCZ W, WALETZKY J. Fuzzy Clustering with Partial Supervision[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1997,5(27):787-795. [9] STUTZ C, RUNKLER TA. Classification and Prediction of Road Traffic Using Application-specific Fuzzy Clustering[J]. IEEE Transactions on Fuzzy Systems, 2002,10(3):297-308. [10] TUIA D, VOLPI M, COPA L, et al. A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification[J]. IEEE J. Sel. Topics Signal Process, 2011,3(5):606-617. [11] LUO T, KRAMER K, GOLDGOF D B, et al. Active Learning to Recognize Multiple Types of Plankton[J]. J. Mach. Learn. Res., 2005,6(4):589-613. [12] LI J, BIOUCAS-DIAS J, PlAZA A. Hyperspectral Image Segmentation Using a New Bayesian Approach with Active Learning[J]. IEEE Trans. Geosci.Remote Sens., 2011,49(10):3947-3960. [13] TUIA D, RATLE F, PACIFICI F, et al. Active Learning Methods for Remote Sensing Image Classification[J]. IEEE Trans. Geosci. Remote Sens., 2009,47(7):2218-2232. |
[1] | WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie. 3D road boundary extraction based on mobile laser scanning point clouds and OSM data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 18-25. |
[2] | LIU Lin, SUN Yi, LI Wanwu. Detection model construction based on CNN for offshore drilling platform and training algorithm analysis [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 26-32,99. |
[3] | KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin. Application of CatBoost model in water depth inversion [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 33-37. |
[4] | WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling. Study on inversion of forest biomass by LiDAR and hyperspectral [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 38-42. |
[5] | JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui. Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 43-48. |
[6] | ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59. |
[7] | RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117. |
[8] | LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137. |
[9] | AI Min, JING Hui, TIAN Yudong, GUO Lanqin, PEI Yuanjie. Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 124-128. |
[10] | LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133. |
[11] | LIU Guochao, PENG Weiping, YANG Shuihua, HU Zhouwen. Detection and application of urban road disease based on ground penetrating radar+3D measuring endoscope [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 134-137. |
[12] | LIU Xiaoyu, LIU Yang, DU Mingyi, ZHANG Min, JIA Jingjue, YANG Heng. Research on construction and demolition waste stacking point identification based on DeeplabV3+ [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 16-19,43. |
[13] | LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25. |
[14] | SHI Yun, SHI Longlong, NIU Minjie, ZHAO Kan. Multi-task automatic identification of loess landslide based on one-stage instance segmentation network [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 26-31. |
[15] | DOU Shiqing, CHEN Zhiyu, XU Yong, ZHENG Hegang, MIAO Linlin, SONG Yingying. Hyperspectral image classification based on multi-feature fusion and dimensionality reduction algorithms [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 32-36,50. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||