面向新增建设用地发现的地块特征构建
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摘要
针对基于高空间分辨率光学图像和土地利用数据的新增建设用地发现的问题,在总结地块辅助新增建设用地发现技术流程的基础上,分析了面向地块的光谱、植被指数、纹理、梯度、方差等特征用于新增建设用地发现的潜力,开展了针对新增建设用地非监督发现的地块特征构建研究。利用北京市昌平区城乡结合部的2期SPOT5融合图像,开展了对比试验。结果表明,单纯使用地块光谱与植被指数特征发现精度最高,其他特征的加入虽然降低了发现精度,但能发现某些特定的变化。实际应用中,建议以基于地块光谱与植被指数特征的发现结果为主,辅助使用加入其他特征的发现结果,以达到较好的新增建设用地发现效果。
Aimed at solving the problems existent in the change detection of new construction land based on high- resolution optical images and land use data,this paper summed up the workflow of new construction land change detection supplemented by land use,analyzed the potential utility of spectra vegetation index,texture,gradient, and variance for land block in detecting new construction land,followed by a comparison of feature uses of unsupervised detection. Tests were carried out on 2 SPOT5 imageries covering rural- urban fringe areas located in Changping District of Beijing,with the utilization of 4 groups of features,which were spectra and vegetation index, spectra,vegetation index and texture,spectra,vegetation index and gradient,and spectra,vegetation index and variance. The results show that the performance using spectra and vegetation index feature is the best,and the addition of the other features would reduce the detection accuracy. Therefore,in order to achieve a good result in practical application,we should mainly use the result of spectra and vegetation index feature,aided by other re- sults.
Aimed at solving the problems existent in the change detection of new construction land based on high- resolution optical images and land use data,this paper summed up the workflow of new construction land change detection supplemented by land use,analyzed the potential utility of spectra vegetation index,texture,gradient, and variance for land block in detecting new construction land,followed by a comparison of feature uses of unsupervised detection. Tests were carried out on 2 SPOT5 imageries covering rural- urban fringe areas located in Changping District of Beijing,with the utilization of 4 groups of features,which were spectra and vegetation index, spectra,vegetation index and texture,spectra,vegetation index and gradient,and spectra,vegetation index and variance. The results show that the performance using spectra and vegetation index feature is the best,and the addition of the other features would reduce the detection accuracy. Therefore,in order to achieve a good result in practical application,we should mainly use the result of spectra and vegetation index feature,aided by other re- sults.
引文
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[6]李磊,李小娟,崔伟宏.基于GIS和RS的县级土地利用动态监测系统研究[J].地理学与国土研究,2001,5(2):28-32.Li L,Li X J,Cui W H.On dynamic monitoring of land use at county level based on RS and GIS[J].Geography and Territorial Research,2001,5(2):28-32.
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[8]刘臻,宫鹏,史培军,等.基于相似度验证的自动变化探测研究[J].遥感学报,2005,9(5):537-543.Liu Z,Gong P,Shi P J,et al.Study on change detection automatically based on similarity calibration[J].Journal of Remote Sensing,2005,9(5):537-543.
[9]袁修孝,宋妍.一种运用纹理和光谱特征消除投影差影响的建筑物变化检测方法[J].武汉大学学报:信息科学版,2007,32(6):489-493.Yuan X X,Song Y.A building change detection method considering projection influence based on spectral feature and texture feature[J].Geomatics and Information Science of Wuhan University,2007,32(6):489-493.
[10]Story M,Congalton R G.Accuracy assessment:A user’s perspective[J].Photogrammetric Engineering and Remote Sensing,1986,53(3):397-399.
[2]李德仁.利用遥感影像进行变化检测[J].武汉大学学报:信息科学版,2003,28(s1):7-12.Li D R.Change detection from remote sensing images[J].Geomantics and Information Science of Wuhan University,2003,28(s1):7-12.
[3]Kennedy R E,Townsend P A,Gross J E.Remote sensing change detection tools for natural resource managers:Understanding concepts and tradeoffs in the design of landscape monitoring project[J].Remote Sensing of Environment,2009,113(7):1382-1396.
[4]王琰,舒宁,龚颵.高分辨率遥感影像土地利用变化检测方法研究[J].国土资源遥感,2012,24(1):43-47.Wang Y,Shu N,Gong Y.A study of land use change detection based on high resolution remote sensing images[J].Remote Sensing for Land and Resources,2012,24(1):43-47.
[5]叶明,杨晓平,蒋刚毅.基于TM遥感图像的宁波土地利用动态监测[J].宁波大学学报:理工版,2003,3(1):30-34.Ye M,Yang X P,Jiang G Y.Land use dynamic surveying based on the interpretation of TM image[J].Journal of Ningbo University(National Science and Engineering Edition),2003,3(1):30-34.
[6]李磊,李小娟,崔伟宏.基于GIS和RS的县级土地利用动态监测系统研究[J].地理学与国土研究,2001,5(2):28-32.Li L,Li X J,Cui W H.On dynamic monitoring of land use at county level based on RS and GIS[J].Geography and Territorial Research,2001,5(2):28-32.
[7]Wu B,Yang J,Meng Y,et al.Fast detection of changed blocks in land use map[A].IGARSS 2012:6188-6191.
[8]刘臻,宫鹏,史培军,等.基于相似度验证的自动变化探测研究[J].遥感学报,2005,9(5):537-543.Liu Z,Gong P,Shi P J,et al.Study on change detection automatically based on similarity calibration[J].Journal of Remote Sensing,2005,9(5):537-543.
[9]袁修孝,宋妍.一种运用纹理和光谱特征消除投影差影响的建筑物变化检测方法[J].武汉大学学报:信息科学版,2007,32(6):489-493.Yuan X X,Song Y.A building change detection method considering projection influence based on spectral feature and texture feature[J].Geomatics and Information Science of Wuhan University,2007,32(6):489-493.
[10]Story M,Congalton R G.Accuracy assessment:A user’s perspective[J].Photogrammetric Engineering and Remote Sensing,1986,53(3):397-399.