拓扑插值与光谱特征结合的复杂城区边界提取

doi:10.11947/j.AGCS.2019.20180126

测绘学报 ›› 2019, Vol. 48 ›› Issue (8): 1004-1013.doi: 10.11947/j.AGCS.2019.20180126

拓扑插值与光谱特征结合的复杂城区边界提取

于莉楠, 宁晓刚, 王浩, 刘纪平

中国测绘科学研究院, 北京 100830

收稿日期:2018-03-21 修回日期:2018-10-11 出版日期:2019-08-20 发布日期:2019-08-27
通讯作者: 宁晓刚 E-mail:ningxg@casm.ac.cn
作者简介:于莉楠(1987-),女,硕士,工程师,研究摄影测量与遥感、计算机视觉、模式识别。E-mail:yulinan@ymail.com
基金资助:
国家重点研发计划（2016YFE0205300）；国家自然科学基金（41401513）；中央级公益性科研院所基本科研业务费（7771803）；城市空间信息工程北京重点实验室经费（2018202）

Complex urban boundary extraction based on topological interpolation and spectral feature

YU Linan, NING Xiaogang, WANG Hao, LIU Jiping

Chinese Academy of Surveying and Mapping, Beijing 100830, China

Received:2018-03-21 Revised:2018-10-11 Online:2019-08-20 Published:2019-08-27
Supported by:
The National Key Research and Development Program of China (No. 2016YFE0205300);The National Natural Science Foundation of China (No. 41401513);The Basic Scientific Research Fund for Central Commonweal Research Institutes of China (No. 7771803);The Fund of Beijing Key Laboratory of Urban Spatial Information Engineering (No. 2018202)

摘要/Abstract

摘要： 复杂城区边界通常存在建筑物大小差异较大、周边林区高低起伏、散点建筑成片出现的情况，对城区边界提取算法造成严重干扰。针对这一问题，本文提出一种基于拓扑插值和光谱特征的高分辨率遥感影像复杂城区边界提取方法。一方面，通过对大型建筑特征点进行拓扑插值，避免由于大型建筑特征点稀疏造成的城区边界缺失；另一方面，利用植被光谱特征来滤除城区周边高低起伏的林区和散点建筑带来的冗余特征点，从而有效抑制城区误提取。通过试验和对比分析表明，本文方法在提取复杂城区边界方面，具有较好的稳健性和较高的精度。

关键词: 拓扑插值, 光谱特征, 角点, 高分辨率, 复杂城区边界

Abstract: Complex urban boundary usually has buildings with greatly different size, rugged forest area and scattered small buildings, which makes many urban extraction algorithms ineffective. In order to solve this problem, a method based on topological interpolation theory and spectral featureis proposed, and it can be applied to complex urban boundary extraction from high resolution imagery. On the one hand, feature corners of big buildings are inserted to avoid the urban boundary lose caused by the sparse feature points. On the other hand, spectral feature is made full use of to remove the redundancy feature points brought by rugged forest area and scattered small buildings, which can reduce the wrong boundary extraction. The experiments and compared analysis show that the new method has a good robustness and high accuracy.

Key words: topological interpolation, spectral feature, corner, high resolution, complex urban boundary

中图分类号:

P237

于莉楠, 宁晓刚, 王浩, 刘纪平. 拓扑插值与光谱特征结合的复杂城区边界提取[J]. 测绘学报, 2019, 48(8): 1004-1013.

YU Linan, NING Xiaogang, WANG Hao, LIU Jiping. Complex urban boundary extraction based on topological interpolation and spectral feature[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 1004-1013.

参考文献

[1] 陈军, 陈利军, 李然, 等. 基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析[J]. 测绘学报, 2015, 44(11):1181-1188. DOI:10.11947/j.AGCS.2015.20140677. CHEN Jun, CHEN Lijun, LI Ran, et al. Spatial distribution and ten years change of global built-up areas derived from GlobeLand30[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11):1181-1188. DOI:10.11947/j.AGCS.2015.20140677.
[2] 宁晓刚, 王浩, 林祥国, 等. 京津冀城市群1990-2015年城区时空扩展监测与分析[J]. 测绘学报, 2018, 47(9):1207-1215. DOI:10.11947/j.AGCS.2018.20170414. NING Xiaogang, WANG Hao, LIN Xiangguo, et al. Spatio-temporal urban sprawl monitoring and analysis over Beijing-Tianjin-Hebei urban agglomeration during 1990-2015[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(9):1207-1215. DOI:10.11947/j.AGCS.2018.20170414.
[3] 李德仁, 童庆禧, 李荣兴, 等. 高分辨率对地观测的若干前沿科学问题[J]. 中国科学(地球科学), 2012, 42(6):805-813. LI Deren, TONG Qingxi, LI Rongxing, et al. Current issues in high-resolution earth observation technology[J]. Science China Earth Sciences, 2012, 42(6):805-813.
[4] 谭衢霖. 高分辨率多光谱影像城区建筑物提取研究[J]. 测绘学报, 2010, 39(6):618-623. TAN Qulin. Urban building extraction from VHR multi-spectral images using object-based classification[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(6):618-623.
[5] ZHONG Ping, WANG Runsheng. A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(12):3978-3988.
[6] SHACKELFORD A K, DAVIS C H. A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(10):2354-2363.
[7] 赵龙才, 李强子, 黄慧萍. 基于高分辨率影像的平原地区农村居民点自动化提取方法研究[J]. 遥感技术与应用, 2016, 31(4):784-792. ZHAO Longcai, LI Qiangzi, HUANG Huiping. Study of automated extraction method for plains rural resident based on high resolution remote sensing image[J]. Remote Sensing Technology and Application, 2016, 31(4):784-792.
[8] 顾娟, 张宏伟. 面向对象的居民地分类提取和变化检测方法[C]//中国地理信息系统协会第四次会员代表大会暨第十一届年会论文集. 北京:中国地理信息系统协会, 2007:412-419. GU Juan, ZHANG Hongwei. Object-oriented residential area classification and change detection[C]//Proceedings of the 4rd Conference and the 11th Annual Meeting of the Chinese Association of GIS Symposium. Beijing:Chinese Association of GIS, 2007:412-419.
[9] 侯伟, 鲁学军, 张春晓, 等. 面向对象的高分辨率影像信息提取方法研究——以四川理县居民地提取为例[J]. 地球信息科学学报, 2010, 12(1):119-125. HOU Wei, LU Xuejun, ZHANG Chunxiao, et al. Object-oriented information extraction from high resolution imagery:a case study for recognition of residential area in Lixian County, Sichuan Province[J]. Journal of Geo-information Science, 2010, 12(1):119-125.
[10] ZHANG Qian, HUANG Xin, ZHANG Guixu. Urban area extraction by regional and line segment feature fusion and urban morphology analysis[J]. Remote Sensing, 2017, 9(7):663.
[11] 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.
[12] LI Yansheng, TAN Yihua, DENG Jianjin, et al. Cauchy graph embedding optimization for built-up areas detection from high-resolution remote sensing images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(5):2078-2096.
[13] SIRMACEK B, UNSALAN C. Urban-area and building detection using SIFT keypoints and graph theory[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(4):1156-1167.
[14] SIRMACEK B, UNSALAN C. Urban area detection using local feature points and spatial voting[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1):146-150.
[15] KOVÁCS A, SZIRÁNYI T. Improved Harris feature point set for orientation-sensitive urban-area detection in aerial images[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4):796-800.
[16] 陶超, 邹峥嵘, 丁晓利. 利用角点进行高分辨率遥感影像居民地检测方法[J]. 测绘学报, 2014, 43(2):164-169, 192. DOI:10.13485/j.cnki.11-2089.2014.0024. TAO Chao, ZOU Zhengrong, DING Xiaoli. Residential area detection from high-resolution remote sensing imagery using corner distribution[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(2):164-169, 192. DOI:10.13485/j.cnki.11-2089.2014.0024.
[17] VNSALAN C, BOYER K L. Classifying land development in high-resolution panchromatic satellite images using straight-line statistics[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(4):907-919.
[18] 顾娟, 陈军, 张宏伟, 等. 基于建筑物边缘特征的居民地自动识别方法研究[C]//中国测绘学会九届二次全体理事会议暨2006年学术年会论文集. 深圳:中国测绘学会, 2006:152-161. GU Juan, CHEN Jun, ZHANG Hongwei, et al. Research on automatic human settlement recognition method based on building edge feature[C]//Proceedings of the 2006 Annual Conference of the Chinese Society Geodesy, Photogrammetry and Cartography. Shenzhen:Chinese Society for Geodesy,Photogrammetry and Cartography, 2006:152-161.
[19] 陈洪, 陶超, 邹峥嵘, 等. 利用边缘密度特征提取高分辨率遥感影像中的居民区[J]. 应用科学学报, 2014, 32(5):537-542. CHEN Hong, TAO Chao, ZOU Zhengrong, et al. Extraction of built-up areas extraction from high-resolution remote-sensing images using edge density features[J]. Journal of Applied Sciences-Electronics and Information Engineering, 2014, 32(5):537-542.
[20] 林祥国, 宁晓刚. 融合直角点和直角边特征的高分辨率遥感影像居民点提取方法[J]. 测绘学报, 2017, 46(1):83-89. DOI:10.11947/j.AGCS.2017.20160389. LIN Xiangguo, NING Xiaogang. Extraction of human settlements from high resolution remote sensing imagery by fusing features of right angle corners and right angle sides[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(1):83-89. DOI:10.11947/j.AGCS.2017.20160389.
[21] 高永光, 祝民强, 朱骥, 等. 赣中红壤区TM图像的居民地信息自动提取专家模式研究[J]. 国土资源遥感, 2002(4):67-69. GAO Yongguang, ZHU Minqiang, ZHU Ji, et al. The extraction of residential area on Landsat TM imagery from red earth region in Central Jiangxi[J]. Remote Sensing for Land & Resources, 2002(4):67-69.
[22] PESARESI M, GERHARDINGER A, KAYITAKIRE F. A robust built-up area presence index by anisotropic rotation-invariant textural measure[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008, 1(3):180-192.
[23] 沈小乐, 邵振峰, 田英洁. 纹理特征与视觉注意相结合的建筑区提取[J]. 测绘学报, 2014, 43(8):842-847. DOI:j.cnki.11-2089.2014.0131. SHEN Xiaole, SHAO Zhenfeng, TIAN Yingjie. Built-up areas extraction by textural feature and visual attention mechanism[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(8):842-847. DOI:j.cnki.11-2089.2014.0131.
[24] HOUGH P V C. Method and means for recognizing complex patterns:US, 3069654[P]. 1962-12-18.
[25] VON GIOI R G, JAKUBOWIC Z J, MOREL J M, et al. LSD:a fast line segment detector with a false detection control[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(4):722-732.
[26] CANNY J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, PAMI-8(6):679-698.
[27] 马劲松, 沈婕, 徐寿成. 利用Douglas-Peucker并行算法在多核处理器上实时综合地图线要素[J]. 武汉大学学报(信息科学版), 2011, 36(12):1423-1426. MA Jingsong, SHEN Jie, XU Shoucheng. A parallel implementation of Douglas-Peucker algorithm for real-time map generalization of polyline features on multi-core processor computers[J]. Geomatics and Information Science of Wuhan University, 2011, 36(12):1423-1426.

拓扑插值与光谱特征结合的复杂城区边界提取

Complex urban boundary extraction based on topological interpolation and spectral feature

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