[1] [1] ZHANG J T, ZHANG L M. A watershed algorithm combining spectral and texture information for high resolution remote sensing image segmentation［J］. Geomatics and Information Science of Wuhan University, 2017, 42(4): 449-455, 467. (in Chinese)

[2] [2] GAETANO R, MASI G, POGGI G, et al.. Marker-controlled watershed-based segmentation of multiresolution remote sensing images［J］. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(6): 2987-3004.

[3] [3] SONG H H, HUANG B, ZHANG K H. A globally statistical active contour model for segmentation of oil slick in SAR imagery［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(6): 2402-2409.

[4] [4] WANG Y, LI Y, ZHAO Q H. Integration of multispectral remote-sensing image segmentation with unknown number of classes［J］. Journal of Remote Sensing, 2016, 20(6): 1381-1390. (in Chinese)

[5] [5] LI Y, XU Y, ZHAO X M, et al.. Multispectral image segmentation by fuzzy clustering algorithm used Gaussian mixture model［J］. Opt. Precision Eng., 2017, 25(2): 509-518. (in Chinese)

[6] [6] WEN Q, WANG W, LI L L, et al.. Extraction of built-up area in plain from high resolution remote sensing images［J］. Opt. Precision Eng., 2016, 24(10): 2557-2564. (in Chinese)

[7] [7] CHAN T, VESE L. An active contour model without edges［C］. Scale-Space Theories in Computer Vision, Springer, 1999, 1682: 141-151.

[8] [8] KASS M, WITKIN A, TERZOPOULOS D. Snakes: active contour models［J］. International Journal of Computer Vision, 1988, 1(4): 321-331.

[9] [9] CASELLES V, KIMMEL R, SAPIRO G. Geodesic active contours［J］. International Journal of Computer Vision, 1997, 22(1): 61-79.

[10] [10] NIU S J, CHEN Q, DE SISTERNES L, et al.. Robust noise region-based active contour model via local similarity factor for image segmentation［J］. Pattern Recognition, 2017, 61: 104-119.

[11] [11] LI CH M, GORE J C, DAVATZIKOS C. Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation［J］. Magnetic Resonance Imaging, 2014, 32(7): 913-923.

[12] [12] LIU J L, SUI Q M, ZHU W X. MR image segmentation based on probability density function and active contour model［J］. Opt. Precision Eng., 2014, 22(12): 3435-3442. (in Chinese)

[13] [13] ZHANG K H, ZHANG L, SONG H H, et al.. Active contours with selective local or global segmentation: A new formulation and level set method［J］. Image and Vision Computing, 2010, 28(4): 668-676.

[14] [14] HOOGI A, SUBRAMANIAM A, VEERAPANENI R, et al. Adaptive estimation of active contour parameters using convolutional neural networks and texture analysis［J］. IEEE Transactions on Medical Imaging, 2017, 36(3): 781-791.

[15] [15] SU L, WU J J, PANG D. Panoramic sea-sky-line detection based on improved active contour model［J］. Acta Optica Sinica, 2016, 36(11): 1115003. (in Chinese)

[16] [16] JIANG D W, FAN J CH, HUANG F R. SAR image coastline detection based on regional distance regularized geometric active contour models［J］. Acta Geodaetica et Cartographica Sinica, 2016, 45(9): 1096-1103. (in Chinese)

[17] [17] HAN B, WU Y Q. A novel active contour model based on modified symmetric cross entropy for remote sensing river image segmentation［J］. Pattern Recognition, 2017, 67: 396-409.

[18] [18] TIAN B S, LI ZH, ZHANG M M, et al.. Mapping thermokarst lakes on the Qinghai-Tibet Plateau using nonlocal active contours in Chinese GaoFen-2 multispectral imagery［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5): 1687-1700.

[19] [19] LI C M, XU CH Y, GUI CH F, et al.. Distance regularized level set evolution and its application to image segmentation［J］. IEEE Transactions on Image Processing, 2010, 19(12): 3243-3254.

[20] [20] ALIREZA. K-means, mean-shift and normalized-cut segmentation［EB/OL］. (2015-08-27). http://cn.mathworks.com/matlabcentral/fileexchange/52698-k-means-mean-shift-and-normalized-cut-segmentation.