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-  2017 

可变形部件模型在高分辨率遥感影像建筑物检测中的应用
Building Detection from High Resolution Remote Sensing Imagery Based on a Deformable Part Model

DOI: 10.13203/j.whugis20150048

Keywords: 高分辨率遥感影像,建筑物检测,可变形部件模型,DPM。,
high resolution remote sensing imagery
,building detection,deformable part model,DPM

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Abstract:

高分辨率遥感影像具有场景复杂、目标种类多样、同一目标呈现多种形态等特点,给建筑物检测带来困难。近年来,可变形部件模型(deformable part model,DPM)被广泛应用到模式识别领域,并且在自然场景的目标识别方面取得很好的效果。结合可变形部件模型,提出一种针对高分辨率遥感影像中建筑物的检测方法,将建筑物看作可变形部件的组合,通过训练得到其对应的参数模板,并采用滑动窗口的方式遍历待检测的影像,判断其中是否存在建筑物目标。通过对分辨率为0.5 m的高分辨率遥感影像的实验证明了方法的有效性

References

[1]  Chen L, Zhao S, Han W, et al. Building Detection in an Urban Area Using LiDAR Data and QuickBird Imagery[J]. <em>International Journal of Remote Sensing</em>, 2012, 33(16):5135-5148
[2]  Qin R, Fang W. A Hierarchical Building Detection Method for Very High Resolution Remotely Sensed Images Combined with DSM Using Graph Cut Optimization[J].<em>Photogrammetric Engineering and Remote Sensing</em>, 2014, 80(9):873-883
[3]  Park D C, Woo D M, Kim C S. Clustering of 3D Line Segments Using Centroid Neural Network for Building Detection[J]. <em>Journal of Circuits Systems & Computers</em>, 2014, 23(5):291-299
[4]  Lampert C, Blaschko M, Hofmann T. Beyond Sliding Windows:Object Localization by Efficient Subwindow Search[C]. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, USA, 2008
[5]  Hou Lei, Yin Dong, You Xiaojian. An Automatic Building Detection Method from Remote Sensing Images[J].<em>Computer Simulation</em>, 2006, 23(4):184-187(侯蕾, 尹东, 尤晓建. 一种遥感图像中建筑物的自动提取方法[J]. 计算机仿真, 2006, 23(4):184-187)
[6]  Simonetto E, Oriot H, Garello R.Rectangular Building Extraction from Stereoscopic Airborne Radar Images[J]. <em>IEEE Transactions on Geoscience and Remote Sensing, </em>2005, 43(10):2386-2395
[7]  Zhou Yanan, Shen Zhanfeng, Luo Jiancheng, et al. Shadow-Assisted Object-Oriented Extraction of Urban Buildings[J].<em>Geography and Geo-Information Science</em>, 2010, 26(3):37-40(周亚男, 沈占锋, 骆剑承,等. 阴影辅助下的面向对象城市建筑物提取[J]. 地理与地理信息科学, 2010, 26(3):37-40)
[8]  Felzenszwalb P, Girshick R, McAllester D, et al. Object Detection with Discriminatively Trained Part-based Models[J]. <em>IEEE Transactions on Pattern Analysis and Machine Intelligence</em>, 2010, 32(9):1627-1645
[9]  Felzenszwalb P, McAllester D, Ramanan D. A Discriminatively Trained, Multiscale, Deformable Part Model[C]. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, USA, 2008
[10]  Dalal N, Triggs B. Histograms of Oriented Gradients for Human Detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, San Diego, USA, 2005
[11]  Blaschko M, Lampert C. Learning to Localize Objects with Structured Output Regression[C]. European Conference on Computer Vision, Marseille, France, 2008
[12]  Hamed P, Deva R. Steerable Part Models[C]. IEEE Conference on Computer Vision and Pattern Recognition, Providence, USA, 2012
[13]  An Wen, Yang Junfeng, Zhao Xi, et al. Building Automatic Extraction from High Resolution RS Images[J].<em>Science of Surveying and Mapping,</em> 2014, 39(11):80-84(安文, 杨俊峰, 赵羲, 等. 高分辨率遥感影像的建筑物自动提取[J]. 测绘科学, 2014, 39(11):80-84)
[14]  Aytekln O, Erener A, Ulusoy I, Duzgun S. Unsupervised Building Detection in Complex Urban Environments from Multispectral Satellite Imagery[J]. <em>International Journal of Remote Sensing</em>, 2012, 33(7):2152-2177
[15]  Tao Chao, Tan Yihua, Cai Huajie, et al. Object-oriented Method of Hierarchical Urban Building Extraction from High-resolution Remote-Sensing Imagery[J].<em>Acta Geodaetica et Cartographica Sinica</em>, 2010, 39(1):39-45(陶超, 谭毅华, 蔡华杰,等. 面向对象的高分辨率遥感影像城区建筑物分级提取方法[J]. 测绘学报, 2010, 39(1):39-45)
[16]  Karantzalos K, Paragios N. Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection[J]. <em>IEEE Transaction on Geoscience and Remote Sensing</em>, 2009, 47(1):133-144
[17]  Wu Wei, Luo Jiancheng, Shen Zhanfeng, et al. Building Exaction from High Resolution Remote Sensing Imagery Based on Spatial-Spectral Method[J].<em>Geomatics and Information Science of Wuhan University</em>, 2012, 37(7):800-805(吴炜, 洛剑承, 沈占锋, 等. 光谱和形状特征相结合的高分辨率遥感图像的建筑物提取方法[J]. 武汉大学学报·信息科学版, 2012(7):800-805)
[18]  Felzenszwalb P, Girshick R, McAllester D. Cascade Object Detection with Deformable Part Models[J]. <em>Communications of the Acm</em>, 2013, 56(9):97-105
[19]  Desai C, Ramanan D, Fowlkes C. Discriminative Models for Multi-class Object Layout[J].<em>International Journal of Computer Vision</em>, 2011, 95(1):1-12
[20]  Pepik B, Stark M, Gehler P, et al. Teaching 3D Geometry to Deformable Part Models[C]. IEEE Conference on Computer Vision and Pattern Recognition, Providence, USA, 2012
[21]  Hossein A, Ivan L. Object Detection Using Strongly-supervised Deformable Part Models[C]. European Conference on Computer Vision, Florence, Italy, 2012

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