VANHAMEL I, PRATIKAKIS I, SAHLI H. Multiscale Gradient Watersheds of Color Images[J]. IEEE Transactions on Image Processing, 2003, 12(6): 617-626.
[2]
XIAO Pengfeng, FENG Xuezhi, ZHAO Shuhe, et al. Segmentation of High Resolution Remotely Sensed Imagery Based on Phase Congruency[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(2): 146-151. (肖鹏峰, 冯学智, 赵书河, 等. 基于相位一致的高分辨率遥感图像分割方法[J]. 测绘学报, 2007, 36(2): 146-151.)
[3]
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.
[4]
HAN Bing, ZHAO Yindi, GE Lele. Wavelet-domain in HMT Model Based on Iterative Context Fusion for Remote Sensing Image Segmentation[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(2): 233-237. (韩冰, 赵银娣, 戈乐乐. 遥感图像分割的迭代上下文融合小波域HMT模型[J]. 测绘学报, 2013, 42(2): 233-237.)
[5]
FELZENSZWALB P F, HUTTENLOCHER D P. Efficient Graph-based Image Segmentation[J]. International Journal of Computer Vision, 2004, 59(2): 167-181.
[6]
BAATZ M, SCHPE A. Multiresolution Segmentation: An Optimization Approach for High Quality Multi-scale Image Segmentation[C]//Angewandte Geographische Informationsverarbeitung XII: Beitrge zum AGIT-Symposium. Salzburg: Herbert Wichmann Verlag, 2000: 12-23.
[7]
IKOKOU G B, SMIT J. A Technique for Optimal Selection of Segmentation Scale Parameters for Object-oriented Classification of Urban Scenes[J]. South African Journal of Geomatics, 2013, 2(4): 358-369.
[8]
LI Qin, GAO Xizhang, ZHANG Tao, et al. Optimal Segmentation Scale Selection and Evaluation for Multi-layer Image Recognition and Classification[J]. Journal of Geo-Information Science, 2011, 13(3): 409-417. (李秦, 高锡章, 张涛, 等. 最优分割尺度下的多层次遥感地物分类实验分析[J]. 地球信息科学学报, 2011, 13(3): 409-417.)
[9]
KIM M, MADDEN M, WARNER T. Estimation of Optimal Image Object Size for the Segmentation of Forest Stands with Multispectral IKONOS Imagery[M]//Object-based Image Analysis. Berlin: Springer, 2008: 291-307.
[10]
HUANG Huiping. The Scale of the Problem of Object-oriented Image Analysis[D]. Beijing: Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, 2003, 124-126. (黄慧萍. 面向对象影像分析中的尺度问题研究[D]. 北京: 中国科学院遥感应用研究所, 2003, 124-126.)
[11]
YU Huan, ZHANG Shuqing, KONG Bo, et al. Selection of the Optimal Segmentation Scale in Object-oriented Remote Sensing Image Classification[J]. Journal of Image and Graphics, 2010, 15(2): 352-360. (于欢, 张树清, 孔博, 等. 面向对象遥感影像分类的最优分割尺度选择研究[J]. 中国图象图形学报, 2010, 15(2): 352-360.)
[12]
CHEN Jianyu, PAN Delu, MAO Zhihua. High-resolution Remote Sensing Images Coastal Optimal Partition of Simple Objects-scale Problems[J]. Scientia Sinica Terrae, 2006, 36(11): 1044-1051. (陈建裕, 潘德炉, 毛志华. 高分辨率海岸带遥感影像中简单地物的最优分割尺度问题[J]. 中国科学: 地球科学, 2006, 36(11): 1044-1051.)
[13]
WANG Xiaojun, LEESER M. K-means Clustering for Multispectral Images Using Floating-point Divide[C]//Proceedings of the 15th Annual IEEE Symposium on Field-programmable Custom Computing Machines. Napa, CA: IEEE, 2007: 151-162.
[14]
OTSU N. A Threshold Selection Method from Gray-level Histograms[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1): 62-66.
[15]
POLAK M, ZHANG Hong, PI Minghong. An Evaluation Metric for Image Segmentation of Multiple Objects[J]. Image and Vision Computing, 2009, 27(8): 1223-1227.
[16]
ZHOU Jiaxiang. Study on Mean Shift Segmentation and Application of Remotely Sensed Imagery[D]. Changsha: Central South University, 2012. (周家香. Mean Shift 遥感图像分割方法与应用研究[D]. 长沙: 中南大学, 2012.)
[17]
MEILA M. Comparing Clusterings: An Information Based Distance[J]. Journal of Multivariate Analysis, 2007, 98(5): 873-895.
[18]
NEUBERT M, MEINEL G. Evaluation of Segmentation Programs for High Resolution Remote Sensing Applications[C]//Proceedings of the Joint ISPRS/EARSel Workshop:High Resolution Mapping from Space. Hannover, Germany: [s.n.], 2003.
[19]
ROTTENSTEINER F, TRINDER J, CLODE S, et al. Using the Dempster-shafer Method for the Fusion of LiDAR Data and Multi-spectral Images for Building Detection[J]. Information Fusion, 2005, 6(4): 283-300.
[20]
NOCK R, NIELSEN F. Statistical Region Merging[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(11): 1452-1458.
