| Technology Application |
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Parallel image segmentation technique controlled by land use patch |
| YUAN Yuan1, LIU Shunxi2, CHEN Jingbo1, WANG Zhongwu2, LIU Xiaoyi1, WU Bin1 |
1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;
2. China Land Surveying and Planning Institute, Beijing 100035, China |
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Abstract To overcome the block boundary extraction problem in remote sensing dynamic monitoring of land use, the authors have designed a land use patch boundary controlled mean shift segmentation algorithm making full use of the former land use vector data. This method uses the spatial extent of the patch polygons as the segmentation boundary constraint and selects the optimal segmentation parameter dynamically according to the land use type of the patch, thus being a multi-parameter segmentation method. The segmentation processing is also accelerated using MPI platform, which improves the running speed effectively. The experimental result shows that this method is capable of obtaining higher accuracy and can provide a good foundation for the subsequent land use information extraction as well as land use change detection.
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| Keywords
imaging spectrometer
vegetation index
chlorophyll
inversion
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Issue Date: 21 October 2013
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[1] 甘甫平,王润生,王永江,等.基于遥感技术的土地利用与土地覆盖的分类方法[J].国土资源遥感,1999,21(4):40-45. Gan P P,Wang R S,Wang Y J,et al.The classification method based on remote sensing techniques for land use cover[J].Remote Sensing for Land and Resources,1999,21(4):40-45.
[2] 柴渊,李万东.土地利用动态遥感监测技术和方法[M].北京:地质出版社,2011:153. Chai Y,Li W D.Dynamic monitoring of land use through remote sensing techniques and methods[M].Beijing: Geology Press,2011:153.
[3] 孙晓霞,张继贤,燕琴,等.遥感影像变化检测方法综述及展望[J].遥感信息,2011(1):119-123. Sun X X,Zhang J X,Yan Q,et al.A summary on current techniques and prospects of remote sensing change detection[J].Remote Sensing Information,2011(1):119-123.
[4] 张继贤,杨贵军.单一时相遥感数据土地利用与覆盖变化自动检测方法[J].遥感学报,2005,9(3):294-299. Zhang J X,Yang G J.Automatic land use and land cover change detection with one temporary remote sensing image[J].Journal of Remote Sensing,2005,9(3):294-299.
[5] An K,Zhang J S,Yu X.Object-oriented urban dynamic monitoring-A case study of Haidian district of Beijing[J].Chinese Geographical Science,2007,17(3): 236-242.
[6] Petropoulos G P,Kalaitzidis C,Vadrevu K P.Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery[J].Computers and Geosciences,2012,4(41): 99-107.
[7] 沈占锋,骆剑承,吴炜,等.采用并行均值漂移算法实现农林地块边界的精确提取[J].中国图形图象学报,2011,16(9): 1689-1695. Shen Z F,Luo J C,Wu W,et al.Agricultural and forestry land boundary precise segmentation from remote sensing images by parallel mean shift algorithm[J].Journal of Image and Graphics,2011,16(9):1689-1695.
[8] Baatz M,Schpe A.Multiresolution segmentation-an optimization approach for high quality multiscale image segmentation[M]//Strobl J,Blaschke T,Griesebner G.Angewandte Geographische Informations Verarbeitung XII.Karlsruhe:Wichmann Verlag,Karlsruhe,2000:12-23.
[9] Zhang Y,Feng X,Le X.Segmentation on multispectral remote sensing image using watershed transformation[C]//Congress on Image and Signal Processing,2008: 773-777.
[10] Zhang G,Li Y,Li Z J.A new approach toward object-based change detection[J].Science China Technological Sciences,2010,53(1):105-110.
[11] 程昌秀,严泰来,朱德海.GIS辅助下的图斑地类识别方法研究——以土地利用动态监测为例[J].中国农业大学学报,2001,6(3):55-59. Cheng C X,Yan T L,Zhu D H.The method of polygon land use identify supported by GIS-A case study for dynamic monitoring land using[J].Journal of China Agricultural University,2001,6(3):55-59.
[12] Comaniciu D,Meer P.Mean shift: A robust approach toward feature space analysis[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2002,24(5):603-619.
[13] Yue A,Yang J,Zhang C,et al.A watershed segmentation method with shape-based merging criterion based on multispectral remote sensing imagery[J].Sensor Letters,2011,9(3): 1006-1013. |
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2013,
Vol. 25
