密集城区高分辨率遥感影像建筑物提取
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摘要
建筑物在地理国情监测中是一个重要目标,快速、准确地提取城市建筑物可以带来巨大的经济价值。本文在前人针对城市区域的建筑物提取研究基础上,对现有提取方法存在的问题,提出了一种针对密集城区的面向对象自动化建筑物提取流程。首先利用高分辨率遥感影像得到阴影和建筑物初提取结果;然后利用阴影和建筑物的空间位置关系,建立筛选条件,对疑似建筑物区域过滤;最后通过图割算法来精确建筑物轮廓。通过使用武汉地区的两幅QuickBird影像进行算法验证试验,可得到准确的检测结果。本算法可应用于密集城区的建筑物检测,能够有效减少人工判图的工作量。
Buildings are an important target of the monitoring of geographical conditions. The rapid and accurate extraction of urban buildings can bring great economic value. Many people have done a lot of work in the building extraction of the city area. On the basis of predecessors' research and aiming at the problems of existing extraction method,this paper proposes an object-based automatic building extraction process in dense urban areas. First,high-resolution remote sensing images are used to get the shadow and quasi building extraction results. Then,build a filter by the spatial location relationship of the shadows and the crude building extraction results to filter the suspected building area. Finally,get a precise building outline through the graph cut algorithm. For algorithm verification experiments,the accurate detection results can be obtained by using two Quick Bird images in Wuhan. This algorithm can be applied to the building detections in dense urban areas.
Buildings are an important target of the monitoring of geographical conditions. The rapid and accurate extraction of urban buildings can bring great economic value. Many people have done a lot of work in the building extraction of the city area. On the basis of predecessors' research and aiming at the problems of existing extraction method,this paper proposes an object-based automatic building extraction process in dense urban areas. First,high-resolution remote sensing images are used to get the shadow and quasi building extraction results. Then,build a filter by the spatial location relationship of the shadows and the crude building extraction results to filter the suspected building area. Finally,get a precise building outline through the graph cut algorithm. For algorithm verification experiments,the accurate detection results can be obtained by using two Quick Bird images in Wuhan. This algorithm can be applied to the building detections in dense urban areas.
引文
[1]林祥国,张继贤.面向对象的形态学建筑物指数及其高分辨率遥感影像建筑物提取应用[J].测绘学报,2017,46(6):724-733.
[2]JIN X,DAVIS C.Automated building extraction from high-resolution satellite imagery in urban areas using structural,contextual,and spectral information[J].EURASIP Journal on Applied Signal Processing,2005,2005(14):2196-2206.
[3]HUANG X,ZHANG L.A multidirectional and multiscale morphological index for automatic building extraction from multispectral geoeye-1 imagery[J].Photogrammetric Engineering and Remote Sensing,2011,77(7):721-732.
[4]OK A O.Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,86(12):21-40.
[5]OK A O,SENARAS C,YUKSEL B.Automated detection of arbitrarily shaped buildings in complex environments from monocular vhr optical satellite imagery[J].IEEETransactions on Geoscience and Remote Sensing,2013,51(3):1701-1717.
[6]GHANEA M,MOALLEM P,MOMENI M.Automatic building extraction in dense urban areas through Geo Eye multispectral imagery[J].International Journal of Remote Sensing,2014,35(13):5094-5119.
[7]胡荣明,黄小兵,黄远程.增强形态学建筑物指数应用于高分辨率遥感影像中建筑物提取[J].测绘学报,2014,43(5):514-520.
[8]AYTEKIN O,ULUSOY I,ERENER A,et al.Automatic and unsupervised building extraction in complex urban environments from multi spectral satellite imagery[C]∥International Conference on Recent Advances in Space Technologies.[S.l.]:IEEE,2009.
[9]AKAY H G,AKSOY S.Building detection using directional spatial constraints[C]∥Geoscience and Remote Sensing Symposium(IGARSS).[S.l.]:IEEE,2010.
[10]TEKE M,BA爦ESKI E,OK A,et al.Multi-spectral false color shadow detection[M].[S.l.]:Springer Berlin Heidelberg,2011.
[11]施文灶,毛政元.基于图割与阴影邻接关系的高分辨率遥感影像建筑物提取方法[J].电子学报,2016,44(12):2849-2854.
[12]李朝奎,方文,董小姣.面向对象和规则的高分辨率影像分类研究[J].测绘通报,2015(9):9-13.
[13]HUANG X,ZHANG L.Morphological building/shadow index for building extraction from high-resolution imagery over urban areas[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(1):161-172.
[14]林雨准,张保明,王丹菂,等.多特征融合的高分辨率遥感影像建筑物分级提取[J].中国图象图形学报,2017,22(12):1798-1808.
[15]ROTHER C,KOLMOGOROV V,BLAKE A.“Grab Cut”:interactive foreground extraction using iterated graph cuts[J].ACM Trans Graph,2004,23(3):309-314.
[16]周志华.机器学习[M].北京:清华大学出版社,2016.
[2]JIN X,DAVIS C.Automated building extraction from high-resolution satellite imagery in urban areas using structural,contextual,and spectral information[J].EURASIP Journal on Applied Signal Processing,2005,2005(14):2196-2206.
[3]HUANG X,ZHANG L.A multidirectional and multiscale morphological index for automatic building extraction from multispectral geoeye-1 imagery[J].Photogrammetric Engineering and Remote Sensing,2011,77(7):721-732.
[4]OK A O.Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,86(12):21-40.
[5]OK A O,SENARAS C,YUKSEL B.Automated detection of arbitrarily shaped buildings in complex environments from monocular vhr optical satellite imagery[J].IEEETransactions on Geoscience and Remote Sensing,2013,51(3):1701-1717.
[6]GHANEA M,MOALLEM P,MOMENI M.Automatic building extraction in dense urban areas through Geo Eye multispectral imagery[J].International Journal of Remote Sensing,2014,35(13):5094-5119.
[7]胡荣明,黄小兵,黄远程.增强形态学建筑物指数应用于高分辨率遥感影像中建筑物提取[J].测绘学报,2014,43(5):514-520.
[8]AYTEKIN O,ULUSOY I,ERENER A,et al.Automatic and unsupervised building extraction in complex urban environments from multi spectral satellite imagery[C]∥International Conference on Recent Advances in Space Technologies.[S.l.]:IEEE,2009.
[9]AKAY H G,AKSOY S.Building detection using directional spatial constraints[C]∥Geoscience and Remote Sensing Symposium(IGARSS).[S.l.]:IEEE,2010.
[10]TEKE M,BA爦ESKI E,OK A,et al.Multi-spectral false color shadow detection[M].[S.l.]:Springer Berlin Heidelberg,2011.
[11]施文灶,毛政元.基于图割与阴影邻接关系的高分辨率遥感影像建筑物提取方法[J].电子学报,2016,44(12):2849-2854.
[12]李朝奎,方文,董小姣.面向对象和规则的高分辨率影像分类研究[J].测绘通报,2015(9):9-13.
[13]HUANG X,ZHANG L.Morphological building/shadow index for building extraction from high-resolution imagery over urban areas[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(1):161-172.
[14]林雨准,张保明,王丹菂,等.多特征融合的高分辨率遥感影像建筑物分级提取[J].中国图象图形学报,2017,22(12):1798-1808.
[15]ROTHER C,KOLMOGOROV V,BLAKE A.“Grab Cut”:interactive foreground extraction using iterated graph cuts[J].ACM Trans Graph,2004,23(3):309-314.
[16]周志华.机器学习[M].北京:清华大学出版社,2016.