周安发,周家香.一种高分辨率遥感影像道路信息提取方法[J].遥感技术与应用,2012,27(1):94-99. Zhou A F,Zhou J X.A Methodology for road extraction from high resolution remote sensing images[J].Remote Sensing Technology and Application,2012,27(1):94-99.
[2]
周家香,周安发,陶超,等.一种高分辨率遥感影像城区道路网提取方法[J].中南大学学报:自然科学版,2013,44(6):2385-2391. Zhou J X,Zhou A F,Tao C,et al.A methodology for urban roads network extraction from high resolution remote sensing imagery[J].Journal of Central South University:Science and Technology,2013,44(6):2385-2391.
[3]
蔡红玥,姚国清.基于分水岭算法的高分遥感图像道路提取优化方法[J].国土资源遥感,2013,25(3):25-29. Cai H Y,Yao G Q.Optimized method for road extraction from high resolution remote sensing image based on watershed algorithm[J].Remote Sensing for Land and Resources,2013,25(3):25-29.doi:10.6046/gtzyyg.2013.03.05.
[4]
曾发明,杨波,吴德文,等.基于Canny边缘检测算子的矿区道路提取[J].国土资源遥感,2013,25(4):72-78. Zeng F M,Yang B,Wu D W,et al.Extraction of roads in mining area based on Canny edge detection operator[J].Remote Sensing for Land and Resources,2013,25(4):72-78.doi:10.6046/gtzyyg.2013.04.12.
[5]
张雷雨,邵永社,杨毅,等.基于改进的Mean Shift方法的高分辨率遥感影像道路提取[J].遥感信息,2010(4):3-7. Zhang L Y,Shao Y S,Yang Y,et al.Road extraction from high resolution remote sensing images based on the improved mean shift algorithm method[J].Remote Sensing Information,2010(4):3-7.
[6]
Kim Y,Lee C,Han D,et al.Improved additive-wavelet image fusion[J].IEEE Geoscience and Remote Sensing Letters,2010,8(2):263-267.
[7]
蔡娜.基于小波变换的遥感图像融合方法研究[D].福州:福建师范大学,2008. Cai N.Study of Fusion Method for Remote Sensing Image Based on the Wavelet Transform[D].Fuzhou:Fujian Normal University,2008.
[8]
范文婷,傅平.一种基于小波变换的遥感图像融合方法[J].国土资源遥感,2008,20(3):24-26. Fan W T,Fu P.A remote sensing image fusion method based on wavelet transform[J].Remote Sensing for Land and Resources,2008,20(3):24-26.doi:10.6046/gtzyyg.2008.03.06.
[9]
于浩,孙卫东,常玲,等.基于双树复小波的CBERS-02B星遥感影像融合及评价[J].国土资源遥感,2009,21(1):55-59. Yu H,Sun W D,Chang L,et al.Remote sensing image fusion and evaluation of CBERS-02B based on dual tree complex wavelet transformation[J].Remote Sensing for Land and Resources,2009,21(1):55-59.doi:10.6046/gtzyyg.2009.01.12.
[10]
Fukunaga K,Hostetler L.The estimation of the gradient of a density function,with applications in pattern recognition[J].IEEE Transactions on Information Theory,1975,21(1):32-40.
[11]
Do M N,Vetterli M.The Contourlet transform:An efficient directional multiresolution image representation[J].IEEE Transactions on Image Processing,2005,14(12):2091-2106.
[12]
Cheng Y Z.Mean Shift,Mode Seeking,and Clustering[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1995,17(8):790-799.
[13]
Comaniciu D,Meer P.Robust analysis of feature spaces:Color image segmentation[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition.New York:IEEE,1997:750-755.
[14]
Comaniciu D,Ramesh V,Meer P.The variable bandwidth mean shift and data-driven scale selection[C]//IEEE International Conference on Computer Vision.New York:IEEE,2001(1):438- 445.
[15]
Do M N,Vetterli M.Framing pyramids[J].IEEE Transactions on signal Processing,2003,51(9):2329-2342.
[16]
王相海,魏婷婷,周志光.Contourlet方向区域相关性的遥感图像融合[J].遥感学报,2010,14(5):905-916. Wang X H,Wei T T,Zhou Z G.Remote sensing image fusion method based on the contourlet coefficients' correlativity of directional region[J].Journal of Remote Sensing,2010,14(5):905-916.
[17]
吴一全,陈飒.Contourlet变换和Tsallis熵的多源遥感图像匹配[J].遥感学报,2010,14(5):893-904. Wu Y Q,Chen S.Multi-source remote sensing image matching based on Contourlet transform and Tsallis entropy[J].Journal of Remote Sensing,2010,14(5):893-904.
[18]
朱康,贺新光.基于形态学和Contourlet系数区域特征的遥感图像融合方法[J].计算机科学,2013,40(4):301-305. Zhu K,He X G.Remote sensing images fusion method based on morphology and regional feature of Contourlet coefficients[J].Computer Science,2013,40(4):301-305.
[19]
Comaniciu D,Meer P.Mean shift:A robust approach toward feature space analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):603-619.
[20]
Mahyari A G,Yazdi M.Panchromatic and multispectral image fusion based on maximization of both spectral and spatial similarities[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(6):1976-1985.
[21]
Cunha A L,Zhou J P,Do M N.Nonsubsampled Contourilet transform:Filter design and applications in denoising[C]//Proceeding of International Conference on Image Processing.Genova:IEEE,2005:749-752.
[22]
Zhou J P,Cunha A L,Do M N.Nonsubsampled Contourlet transform:Construction and application in enhancement[C]//Proceeding of IEEE International Conference on Image Processing.Genova:IEEE,2005:469-472.
[23]
Comaniciu D.An algorithm for data-driven bandwidth selection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25(2):281-288.
[24]
蒋菱.基于迭代均值漂移滤波图像分割新算法[J].微电子学与计算机,2011,28(9):147-150. Jiang L.Image segmentation based on the mean shift smoothing filter algorithm[J]. Microelectronics & Computer,2011,28(9):147- 150.
[25]
廖建勇,郭斯羽,黄梓效.基于Mean Shift聚类的最大熵图像分割方法[J].计算机仿真,2009,26(9):187-222. Liao J Y,Guo S Y,Huang Z X.A maximum entropy segmentation method based on mean shift clustering[J].Computer Simulation,2009,26(9):187-222.
[26]
高秀娟.图像分割的理论、方法及应用[D].长春:吉林大学,2006:3-7. Gao X J.The Theories,Methods and Applications of Image Segmentation[D].Changchun:Jilin University,2006:3-7.
[27]
吴亮,胡云安.遥感图像自动道路提取方法综述[J].自动化学报,2010,36(7):912-922. Wu L,Hu Y A.A survey of automatic road extraction from remote sensing images[J].Acta Automatica Sinica,2010,36(7):912-922.
[28]
Cunha A L,Zhou J P,Do M N.The Nonsubsampled Contourlet transform:Theory,design,and applications[J].IEEE Transaction on Image Processing,2006,15(10):3089-3101.
[29]
Kong W,Lei Y,Ni X.Fusion technique for grey-scale visible light and infrared images based on non-subsampled Contourlet transform and intensity-hue-saturation transform[J].IET Signal Processing,2011,5(1):75-80.
[30]
Mallat S G.A theory for multiresolution signal decomposition:The wavelet representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693.
[31]
Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.