测绘通报 ›› 2015, Vol. 0 ›› Issue (7): 36-41.doi: 10.13474/j.cnki.11-2246.2015.0206
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LI Haijiang1,2, LIU Yaolin1,2, TAN Ronghui1,2, QIU Lijuan1,2
Received:
2014-06-09
Published:
2015-07-27
CLC Number:
LI Haijiang, LIU Yaolin, TAN Ronghui, QIU Lijuan. A New Algorithm of Urban Built-up Area Boundary Extraction Based on High-resolution Panchromatic Image[J]. 测绘通报, 2015, 0(7): 36-41.
[1] 王颖芳. 城镇建成区边界界定方法研究及应用[D]. 杭州:浙江大学, 2012. [2] 王伟. 济南市城区土地利用空间格局演化与优化研究[D].济南:山东师范大学, 2004. [3] 朴妍,马克明. 北京城市建成区扩张的经济驱动:1978-2002[J]. 中国国土资源经济,2006(7): 34-37. [4] 刘文锴,杨磊库,梁洪有,等. Landsat卫星遥感影像在焦作市建成区扩展变化监测中的应用[J]. 河南理工大学学报:自然科学版,2009,28(4): 445-448. [5] 孙雁,刘志强,王秋兵,等. 1910年以来沈阳城区土地利用空间格局变化[J]. 中国土地科学, 2012(9): 41-47. [6] 牟凤云,张增祥,迟耀斌,等. 基于多源遥感数据的北京市1973—2005年间城市建成区的动态监测与驱动力分析[J]. 遥感学报,2007,11(2):257-268. [7] 陈淑兴,韩波,柯长青,等. 济南市建成区扩展的时空特征及驱动力分析[J]. 地理空间信息,2009,7(5):117-120. [8] 张雪峰,杨晏立,何政伟,等. 苏、锡、常建成区遥感方法提取及城市扩展分析[J]. 测绘科学,2011,36(2): 113-115. [9] 王跃,程丹. 苏州建成区范围界定及形态分析[J]. 苏州科技学院学报:自然科学版,2011,28(3): 70-74. [10] 李天华,马玲,杨武年,等. 应用遥感和GIS技术提取城市建成区及驱动力分析——以南京市为例[J]. 测绘科学,2007,32(4): 124-125. [11] BINS L S, FONSECA L M G, ERTHAL G J, et al. Satellite Imagery Segmentation: a Region Growing Approach[J]. Simpósio Brasileiro de Sensoriamento Remoto. 1996(8): 677-680. [12] 路威,张占睦. 多尺度几何信息分割算法在居民地提取中的应用[J]. 信息工程大学学报,2003,4(2): 54-57. [13] 苏俊英,曹辉,张剑清. 高分辨率遥感影像上居民地半自动提取研究[J]. 武汉大学学报:信息科学版,2004,29(9): 791-795. [14] 文贡坚,李德仁,叶芬. 从卫星遥感全色图像中自动提取城市目标[J]. 武汉大学学报:信息科学版,2003,28(2): 212-218. [15] 陈雁,万寿红,龚育昌. 全色遥感图像中城区的快速模糊分割算法[J]. 计算机应用,2008,28(12): 3112-3115. [16] 陈洪,陶超,邹峥嵘,等. 一种新的高分辨率遥感影像城区提取方法[J]. 武汉大学学报:信息科学版,2013,38(9): 1063-1067. [17] 阮秋琦. 数字图像处理学[M].3版.北京: 电子工业出版社, 2013: 352-353. [18] 刘晓民. 纹理研究综述[J]. 计算机应用研究,2008,25(8): 2284-2288. [19] 陈美龙,戴声奎. 基于GLCM算法的图像纹理特征分析[J]. 通信技术,2012(2): 108-111. [20] HARALICK R M, SHANMUGAM K, DINSTEIN I H. Textural Features for Image Classification[J]. IEEE Transactions on Systems, Man and Cybernetics,1973,SMC-3(6): 610-621. [21] 陈明. MATLAB神经网络原理与实例精解[M]. 北京:机械工业出版社, 2013: 156-166. [22] 汤红忠. 基于神经网络的车牌识别系统研究[D]. 湘潭:湘潭大学, 2004. [23] CANNY J. A Computational Approach to Edge Detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986,PAMI-8(6): 679-698. [24] Di STEFANO L, BULGARELLI A. A Simple and Efficient Connected Components Labeling Algorithm[C]//Proceedings of IEEE International Conference on Image Analysis and Processing.Venice:IEEE,1999. |
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