BAATZ M, SCH?PE A. Multiresolution Segmentation: An Optimization Approach for High Quality Multi-scale Image Segmentation[J]. Journal of Photogrammetry and Remote Sensing, 2000, 58(3-4): 12-23.
[2]
NEUBERT M, HEROLD H, MEINEL G. Assessing Image Segmentation Quality——Concepts, Methods and Application[M]//BLASCHKE T, LANG S, HAY G J. Object-based Image Analysis. Berlin: Springer, 2008: 769-784.
[3]
MARPU P R, NEUBERT M, HEROLD H, et al. Enhanced Evaluation of Image Segmentation Results[J]. Journal of Spatial Science, 2010, 55(1): 55-68.
[4]
WANG M. A Multiresolution Remotely Sensed Image Segmentation Method Combining Rainfalling Watershed Algorithm and Fast Region Merging [C] //Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Beijing: [s.n.], 2008: 1213-1218.
[5]
LIU Jing, LI Peijun. A High Resolution Image Segmentation Method by Combined Structural and Spectral Characteristics[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(5): 466-473. (刘婧, 李培军. 结合结构和光谱特征的高分辨率影像分割方法[J]. 测绘学报, 2014, 43(5): 466-473.)
[6]
WU Zhaocong, HU Zhongwen, ZHANG Qian, et al. On Combining Spectral, Textural and Shape Features for Remote Sensing Image Segmentation[J]. Acta Geodaetica et Cartographica Sinica, 2014, 42(1): 44-50. (巫兆聪, 胡忠文, 张谦, 等. 结合光谱纹理与形状结构信息的遥感影像分割方法[J]. 测绘学报, 2014, 42(1): 44-50.)
[7]
MORTENSEN E N, BARRETT W A. Intelligent Scissors for Image Composition [C]//Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques.New York: [s.n.], 1995: 191-198.
[8]
ZAHN C T. Graph-theoretical Methods for Detecting and Describing Gestalt Clusters[J]. IEEE Transactions on Computers, 1971, C-20(1): 68-86.
[9]
XU Y, UBERBAEHER E C. 2D Image Segmentation Using Minimum Spanning Trees[J]. Image and Vision Computing, 1997, 15(1): 47-57.
[10]
LERSCH J R, IVERSON A E, WEBB B N, et al. Segmentation of Multiband Imagery Using Minimum Spanning Trees [C] //Aerospace/Defense Sensing and Controls, International Society for Optics and Photonics.Orlando, FL: SPIE, 1996: 10-18.
[11]
FELZENSZWALB P F, HUTTENLOEHER D P. Efficient Graph-based Image Segmentation[J]. International Journal of Computer Vision, 2004, 59(2): 167-181.
[12]
WU Z, LEAHY R. An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(11): 1101-1113.
[13]
BOYKOV Y Y, JOLLY M P. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in ND Images [C] //Proceedings of the 8th IEEE International Conference on Computer Vision.Vancouver, B C: IEEE, 2001: 105-112.
[14]
PENG B, ZHANG L, ZHANG D. A Survey of Graph Theoretical Approaches to Image Segmentation[J]. Pattern Recognition, 2013, 46(3): 1020-1038.
[15]
CUI W H, ZHANG Y. An Effective Graph-based Hierarchy Image Segmentation [J].Intelligent Automation & Soft Computing, 2011, 17(7): 969-981.
[16]
WEICKERT J. Anisotropic Diffusion in Image Processing [M].Stuttgart: Teubner, 1998.
[17]
WEICKERT J, SCHARR H. A Scheme for Coherence-enhancing Diffusion Filtering with Optimized Rotation Invariance[J]. Journal of Visual Communication and Image Representation, 2002, 13(1-2): 103-118.
[18]
ZHANG H, FRITTS E J, GOLDMAN S A. Image Segmentation Evaluation: A Survey of Unsupervised Methods[J]. Computer Vision and Image Understanding, 2008, 110(2): 260-280.
[19]
HARALICK R M, SHAPIRO L G. Image Segmentation Techniques[J]. Computer Vision, Graphics, and Image Processing, 1985, 29(1): 100-132.
[20]
ESPINDOLA G M, CAMARA G, REIS I A, et al. Parameter Selection for Region-growing Image Segmentation Algorithms Using Spatial Autocorrelation[J]. International Journal of Remote Sensing, 2006, 27(14): 3035-3040.
[21]
KIM M, MADDEN M, WARNER T. Estimation of Optimal Image Object Size for the Segmentation of Forest Stands with Multispectral IKONOS Imagery[M]//BLASCHKE T, LANG S, HAY G J. Object-based Image Analysis. Berlin: Springer, 2008: 291-307.