[1] |
Hornby L, Li H. FEATURE-China's big step in rural reform; mapping tiny plots of farmland[EB/OL]. [2013-03-03] http://www.reuters.com/article/2013/02/06/ china-land-title-idUSL4N0B61HM20130206.[2] Addo K A. Urban and peri-urban agriculture in developing countries studied using remote sensing and in situ methods[J]. Remote Sensing, 2010, 2(2): 479-513.[3] 左丽君,张增祥,董婷婷,等. MODIS/NDVI和MODIS/EVI在耕地信息提取中的应用及对比分析[J].农业工程学报,2008,24(3):167-172.Zuo Lijun, Zhang Zengxiang, Dong Tingting, et al. Application of MODIS/NDVI and MODIS EVI to extracting the information of cultivated land and comparison analysis[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(3): 167-172. (in Chinese with English abstract)[4] 孙丽,吴全,张松岭,等. 小地物比例提取在河北耕地遥感调查中的应用研究[J]. 农业工程学报,2006,22(2):79-82.Sun Li, Wu Quan, Zhang Songling, et al. Estimation of area ratios of small features in crop area obtained by remote sensing technique in Hebei province[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(2): 79-82. (in Chinese with English abstract)[5] 陈杰,邓敏,肖鹏峰,等. 粗糙集高分辨率遥感影像面向对象分类[J]. 遥感学报, 2010,14(6):1139-1155.Chen Jie, Deng Min, Xiao Pengfeng, et al. Rough set theory based object-oriented classification of high resolution remotely sensed imagery[J]. Journal of Remote Sensing, 2010, 14(6): 1139-1155. (in Chinese with English abstract)[6] Ruiz L A, Recio J A, Fernández-Sarría A, et al. A feature extraction software tool for agricultural object-based image analysis[J]. Computers and Electronics in Agriculture, 2011, 76(2): 284-296.[7] 张永彬,王琳,孙丹峰,等. 基于遥感与GIS的唐山市路北区耕地时空变化[J]. 辽宁工程技术大学学报: 自然科学版,2010,29(3):404-407.[8] Zhang R Q, Zhu D L. Study of land cover classification based on knowledge rules using high-resolution remote sensing images[J]. Expert Systems with Applications, 2011, 38(4): 3647-3652.[9] Yang C H, Everitt J H, Murden D. Evaluating high resolution SPOT 5 satellite imagery for crop identification[J]. Computers and Electronics in Agriculture, 2011, 75(2): 347-354.[10] Du P J, Li X L, Cao W, et al. Monitoring urban land cover and vegetation change by multi-temporal remote sensing information[J]. Mining Science and Technology, 2010, 20(6): 922-932.[11] Otukei J R, Blaschke T. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms[J]. International Journal of Applied Earth Observation and Geoinformation, 2010, 12(Supp 1): 27-31.[12] Tseng M H, Chen S J, Hwang G H, et al. A genetic algorithm rule-based approach for land-cover classification[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2008, 63(2): 202-212.[13] Rydberg A, Borgefors G. Integrated method for boundary delineation of agricultural fields in multispectral satellite images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(11): 2514-2520.[14] Mokhtarian F, Suomela R. Robust image corner detection through curvature scale space[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(12): 1376-1381.[15] Carleer A P, Wolff E. Urban land cover multi-level region-based classification of VHR data by selecting relevant features[J]. International Journal of Remote Sensing, 2006, 27(5/6): 1035-1051.[16] 陈杰,邓敏,肖鹏峰,等. 纹理频谱分析的高分辨率遥感影像最佳尺度选择[J]. 遥感学报,2011,15(3):492-511.Chen Jie, Deng Min, Xiao Pengfeng, et al. Optimal spatial scale choosing for high resolution imagery based on texture frequency analysis[J]. Journal of Remote Sensing, 2011, 15(3): 492-511. (in Chinese with English abstract)[17] Canny J F. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and MachineIntelligence, 1986, 8 (6): 679-698.[18] Perona P, Malk J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.[19] Shannon C E. A mathematical theory of communication[J]. The Bell System Technical Journal, 1948, 27(3): 379-423.[20] 孙君顶,丁振国,周利华. 基于图像信息熵与空间分布熵的彩色图像检索方法[J]. 红外与毫米波学报,2005,24(2):135-139.Sun Junding, Ding Zhenguo, Zhou Lihua. Image retrival based on image entropy and spatial distribution entropy[J]. Infrared Millim. Waves, 2005,24(2):135-139. (in Chinese with English abstract)[21] Studholme C, Hill D L G, Hawkes D J. An overlap invariant entropy measure of 3D medical image alignment[J]. Pattern Recognition, 1991, 32(1): 71-86.[22] Vincent L, Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6): 583-598.[23] Johnson B, Xie Z. Unsupervised image segmentation evaluation and refinement using a multi-scale approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66: 473-483.[24] Espindola G, Camara G, Reis I, et al. Parameter selection for region growing image segmentation algorithms using spatial autocorrelation[J]. International Journal of Remote Sensing, 2006, 27(14): 3035-3040.[25] Fukunaga K, Hostetler L D. The estimation of the gradient of a density function with applications in pattern recognition[J]. IEEE Transactions on Information Theory, 1975, 21(1): 32-40.[26] Georgescu B, Shimshoni I, Meer P. Mean shift based clustering in high dimensions: A texture classification example[C]//Proceedings of the IEEE International Conference on Computer Vision, 2003, 1: 456-463.[27] Polak M, Zhang H, Pi M H. An evaluation metric for image segmentation of multiple objects[J]. Image and Vision Computing, 2009, 27(8): 1223-227.[28] 潘家文,朱德海,严泰来,等. 遥感影像空间分辨率与成图比例尺的关系应用研究[J]. 农业工程学报,2005,21(9):124-128.Pan Jiawen, Zhu Dehai, Yan Tailai, et al. Application of the relationship between spatial resolution of RS image and mapping scale[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(9): 124-128. (in Chinese with English abstract)
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