联合星载光学与SAR图像的城市大面积建筑物高度快速提取

doi:10.11947/j.AGCS.2017.20160573

测绘学报 ›› 2017, Vol. 46 ›› Issue (7): 891-899.doi: 10.11947/j.AGCS.2017.20160573

联合星载光学与SAR图像的城市大面积建筑物高度快速提取

田峰^1,2, 李虎^2,3

1. 新疆大学资源与环境科学学院, 新疆乌鲁木齐 830000;
2. 新疆维吾尔自治区卫星应用中心, 新疆乌鲁木齐 830000;
3. 滁州学院, 安徽滁州 239000

收稿日期:2016-11-24 修回日期:2017-05-31 出版日期:2017-07-20 发布日期:2017-07-25
通讯作者: 李虎 E-mail:lihu2881@aliyun.com
作者简介:田峰(1992—),男,硕士生,研究方向为城市多光谱与SAR遥感应用,国产遥感卫星应用。
基金资助:
高分辨率对地观测系统重大专项（95-Y40B02-9001-13/15）；新疆青年科技创新人才培养工程（2013701035）；安徽省高等学校自然科学研究项目（KJ2016A526）；滁州学院科研启动基金项目（2014QD029）

Fusion of Spaceborne Optical and SAR Images for Building Height Quick Extraction in Big Urban Areas

TIAN Feng^1,2, LI Hu^2,3

1. College of Resources and Environment Sciences, Xinjiang University, Urumqi 830000, China;
2. Satellite Application Center of Xinjiang Uygur Autonomous Region, Urumqi 830000, China;
3. Chuzhou University, Chuzhou 239000, China

Received:2016-11-24 Revised:2017-05-31 Online:2017-07-20 Published:2017-07-25
Supported by:
National High Resolution Earth Observation Major Project(No.95-Y40B02-9001-13/15);Xinjiang Scientific and Technological Innovation Youth Talents Training Project(No.2013701035);Natural Science Research Project of Anhui University (No.KJ2016A526);Scientific Research Initializing Fund Project of Chuzhou University(No.2014QD029)

摘要/Abstract

摘要： 星载高分辨率光学图像与SAR图像广泛应用于城市建筑物高度提取，但光学图像存在缺少相关卫星参数的情况，而SAR图像则存在散射特征不完整以及提取效率低等缺陷。针对以上问题，本文提出一种联合高分辨率星载光学与SAR图像的城市大面积建筑物高度快速提取方法。首先，结合支持向量机（SVM）和形态学阴影指数（MSI）快速提取光学图像中的阴影并自动测量阴影长度；之后选择多个合适样本，基于模型匹配法从SAR图像中提取高度；最后将高度与阴影长度作线性回归分析，建立数学模型来提取其他建筑物的高度。该方法将不同卫星系统的数据和特征相结合，互相弥补各自缺陷，不仅提高了效率、降低了成本，同时满足精度要求。

关键词: 星载高分辨率图像, 建筑物高度, 大面积, 快速提取, 形态学阴影指数, 模型匹配法, 线性回归

Abstract: The spaceborne high-resolution optical images and synthetic aperture radar (SAR) images are applied to extract building height in urban areas widely. But the lack of optical satellite parameters along with the SAR images' incomplete scattering characteristics and inefficient extraction make the application flawed. To cure the above problems, we investigated the joint use of the spaceborne high-resolution optical images and SAR images to extract building height information quickly in big urban areas. The chain is decomposed into the main following steps: First, the building shadows are extracted by integrating support vector machines (SVM) with morphological shadow index (MSI) and their lengths are measured automatically. Then, the height extraction from SAR images based on a model matching technique for some appropriate samples. Finally, obtain the other heights based on the simple linear regression analysis. This approach which combines the data and feature from different satellite systems to make up the flaws for each other is not only efficient and low-cost, but also satisfy the basic accuracy requirement.

Key words: spaceborne high-resolution image, building height, big areas, quick extraction, MSI, model match technique, simple linear regression

中图分类号:

P237

田峰, 李虎. 联合星载光学与SAR图像的城市大面积建筑物高度快速提取[J]. 测绘学报, 2017, 46(7): 891-899.

TIAN Feng, LI Hu. Fusion of Spaceborne Optical and SAR Images for Building Height Quick Extraction in Big Urban Areas[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(7): 891-899.

参考文献

[1] 钱瑶, 唐立娜, 赵景柱. 基于遥感的建筑物高度快速提取研究综述[J]. 生态学报, 2015, 35(12): 3886-3895. QIAN Yao, TANG Lina, ZHAO Jingzhu. A Review on Building Height Extraction Using Remote Sensing Images[J]. Acta Ecologica Sinica, 2015, 35(12): 3886-3895.
[2] CHENG F, THIEL K H. Delimiting the Building Heights in a City from the Shadow in Panchromatic SPOT-image: Part 1: Test of Forty Two Buildings[J]. International Journal of Remote Sensing, 1995, 16(3): 409-415.
[3] 何国金, 陈刚, 何晓云, 等. 利用SPOT图象阴影提取城市建筑物高度及其分布信息[J]. 中国图象图形学报, 2001, 6(5): 425-428. HE Guojin, CHEN Gang, HE Xiaoyun, et al. Extracting Buildings Distribution Information of Different Heights in a City from the Shadows in a Panchromatic SPOT Image[J]. Journal of Image and Graphics, 2001, 6(5): 425-428.
[4] HUANG Xin, ZHANG Liangpei. A Multidirectional and Multiscale Morphological Index for Automatic Building Extraction from Multispectral GeoEye-1 Imagery[J]. Photogrammetric Engineering & Remote Sensing, 2011, 77(7): 721-732.
[5] HUANG Xin, ZHANG Liangpei. 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.
[6] 付乾坤, 吴波, 汪小钦, 等. 基于形态学建筑物指数的城市建筑物提取及其高度估算[J]. 遥感技术与应用, 2015, 30(1): 148-154. FU Qiankun, WU Bo, WANG Xiaoqin, et al. Building Extraction and Its Height Estimation over Urban Areas Based on Morphological Building Index[J]. Remote Sensing Technology and Application, 2015, 30(1): 148-154.
[7] SIMONETTO E, ORIOT H, GARELLO R, et al. Radargrammetric Processing for 3-D Building Extraction from High-resolution Airborne SAR Data[C]//Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium. Toulouse, France: IEEE, 2003: 2002-2004.
[8] THIELE A, CADARIO E, SCHULZ K, et al. Building Recognition from Multi-aspect High-resolution InSAR Data in Urban Areas[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3583-3593.
[9] 刘康, BALZ T, 廖明生. 利用后向散射特性从高分辨率SAR影像中提取建筑物高度[J]. 武汉大学学报(信息科学版), 2012, 37(7): 806-809. LIU Kang, BALZ T, LIAO Mingsheng. Investigation on Building Height Extraction via Radar Backscattering Characteristics in High Resolution SAR Images[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 806-809.
[10] BENNETT A J, BLACKNELL D. The Extraction of Building Dimensions from High Resolution SAR Imagery[C]//Proceedings of the International Radar Conference. Adelaide, SA, Australia: IEEE, 2003: 182-187.
[11] TISON C, TUPIN F, MAITRE H. Retrieval of Building Shapes from Shadows in High Resolution SAR Interferometric Images[C]//Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium. Anchorage, AK: IEEE, 2004(3): 1788-1791.
[12] BRUNNER D, LEMOINE G, BRUZZONE L, et al. Building Height Retrieval from VHR SAR Imagery Based on an Iterative Simulation and Matching Technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3): 1487-1504.
[13] QUARTULLI M, DATCU M. Stochastic Geometrical Modeling for Built-up Area Understanding from a Single SAR Intensity Image with Meter Resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(9): 1996-2003.
[14] 赵凌君. 高分辨率SAR图像建筑物提取方法研究[D]. 长沙: 国防科学技术大学, 2009. ZHAO Lingjun. Building Extraction from High Resolution SAR Imagery[D]. Changsha: National University of Defense Technology, 2009.
[15] 蒋李兵, 王壮, 雷琳, 等. 基于模型的单幅高分辨SAR图像建筑物高度反演方法[J]. 电子学报, 2012, 40(6): 1086-1091. JIANG Libing, WANG Zhuang, LEI Lin, et al. Model-based Building Height Retrieval from Single HR SAR Image[J]. Acta Electronica Sinica, 2012, 40(6): 1086-1091.
[16] 徐旭, 张风丽, 王国军, 等. 基于高亮特征匹配的双视向SAR图像建筑物高度提取[J]. 遥感技术与应用, 2016, 31(1): 149-156. XU Xu, ZHANG Fengli, WANG Guojun, et al. Building Height Retrieval from Dual-aspect SAR Images Based on Match of Strong Backscattering Features[J]. Remote Sensing Technology and Application, 2016, 31(1): 149-156.
[17] 张永华, 温显斌. 联合高分辨率光学和SAR数据的城市区域矩形建筑物检测与高度估计[J]. 红外与毫米波学报, 2016, 35(2): 160-165. ZHANG Yonghua, WEN Xianbin. Combining High-resolution Optical and SAR Data for Rectangle Building Detection and Height Estimation in Urban Areas[J]. Journal of Infrared and Millimeter Waves, 2016, 35(2): 160-165.
[18] 何灵敏, 沈掌泉, 孔繁胜, 等. SVM在多源遥感图像分类中的应用研究[J]. 中国图象图形学报, 2007, 12(4): 648-654. HE Lingmin, SHEN Zhangquan, KONG Fansheng, et al. Study on Multi-source Remote Sensing Images Classification with SVM[J]. Journal of Image and Graphics, 2007, 12(4): 648-654.
[19] 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. DOI: 10.13485/j.cnki.11-2089.2014.0084. HU Rongming, HUANG Xiaobing, HUANG Yuancheng. An Enhanced Morphological Building Index for Building Extraction from High-resolution Images[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(5): 514-520. DOI: 10.13485/j.cnki.11-2089.2014.0084.
[20] 赵志明, 周小成, 付乾坤, 等. 基于资源三号影像的建筑物高度信息提取方法[J]. 国土资源遥感, 2015, 27(3): 19-24. ZHAO Zhiming, ZHOU Xiaocheng, FU Qiankun, et al. Method for Extraction of Building Height Information Based on ZY-3 Image[J]. Remote Sensing for Land & Resources, 2015, 27(3): 19-24.
[21] 田新光, 张继贤, 张永红. 利用QuickBird影像的阴影提取建筑物高度[J]. 测绘科学, 2008, 33(2): 88-89, 77. TIAN Xinguang, ZHANG Jixian, ZHANG Yonghong. Extraction of Heights of Buildings in City from Shadows in QuickBird Image[J]. Science of Surveying and Mapping, 2008, 33(2): 88-89, 77.
[22] 王国军, 张风丽, 徐旭, 等. 几何模型约束的SAR图像建筑物提取[J]. 红外与毫米波学报, 2013, 32(5): 444-449, 480. WANG Guojun, ZHANG Fengli, XU Xu, et al. Geometrical Model-based Three-dimensional Building Extraction in High-resolution SAR Imagery[J]. Journal of Infrared and Millimeter Waves, 2013, 32(5): 444-449, 480.
[23] 周丽, 黄素珍. 基于模拟退火的混合遗传算法研究[J]. 计算机应用研究, 2005, 22(9): 72-73, 76. ZHOU Li, HUANG Suzhen. Study of Hybrid Genetic Algorithm Based on Simulated Annealing[J]. Application Research of Computers, 2005, 22(9): 72-73, 76.
[24] 刘科研, 盛万兴, 李运华. 基于改进遗传模拟退火算法的无功优化[J]. 电网技术, 2007, 31(3): 13-18. LIU Keyan, SHENG Wanxing, LI Yunhua. Research on Reactive Power Optimization Based on Improved Genetic Simulated Annealing Algorithm[J]. Power System Technology, 2007, 31(3): 13-18.
[25] 石义方, 汪小钦, 孙振海, 等. 基于阴影的资源三号卫星数据城市建筑物高度估算[J]. 地球信息科学学报, 2015, 17(2): 236-243. SHI Yifang, WANG Xiaoqin, SUN Zhenhai, et al. Urban Building Heights Estimation from the Shadow Information on ZY-3 Images[J]. Journal of Geo-Information Science, 2015, 17(2): 236-243.
[26] 刘小洲, 周石琳, 李智勇. 高分辨率遥感图像中建筑物阴影的提取[J]. 计算机仿真, 2008, 25(8): 197-200, 204. LIU Xiaozhou, ZHOU Shilin, LI Zhiyong. Extraction of Building Shadows from Urban High Resolution Remote Sensing Image[J]. Computer Simulation, 2008, 25(8): 197-201, 204.

联合星载光学与SAR图像的城市大面积建筑物高度快速提取

Fusion of Spaceborne Optical and SAR Images for Building Height Quick Extraction in Big Urban Areas

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