浏览全部资源
扫码关注微信
1.中国科学院 深圳先进技术研究院 空间信息研究中心,广东 深圳 518055
2.中国科学院上海技术物理研究所 中国科学院智能红外感知重点实验室,上海 200083
3.芬兰地球空间研究所 摄影测量与遥感部,基尔科努米 FI-02430
4.中国科学院上海技术物理研究所 中国科学院空间主动光电技术重点实验室,上海 200083
5.华为赫尔辛基研究院,赫尔辛基 FI-00180
Received:31 July 2020,
Revised:07 September 2020,
Published:15 February 2021
移动端阅览
贾建鑫,孙海彬,蒋长辉等.多源遥感数据的道路提取技术研究现状及展望[J].光学精密工程,2021,29(02):430-442.
JIA Jian-xin,SUN Hai-bin,JIANG Chang-hui,et al.Road extraction technology based on multi-source remote sensing data: review and prospects[J].Optics and Precision Engineering,2021,29(02):430-442.
贾建鑫,孙海彬,蒋长辉等.多源遥感数据的道路提取技术研究现状及展望[J].光学精密工程,2021,29(02):430-442. DOI: 10.37188/OPE.20212902.0430.
JIA Jian-xin,SUN Hai-bin,JIANG Chang-hui,et al.Road extraction technology based on multi-source remote sensing data: review and prospects[J].Optics and Precision Engineering,2021,29(02):430-442. DOI: 10.37188/OPE.20212902.0430.
遥感图像道路信息提取既是土地利用检测、地理信息系统更新等传统行业应用的必要步骤,又是数字城市、智能交通等新基建领域中关键技术之一。回顾道路提取方法的发展历程,按照使用数据源的不同,现有的遥感图像道路提取技术主要分为高分辨率成像、多光谱/高光谱成像、激光/点云成像和SAR成像四大类。本文首先介绍了四种遥感技术在道路信息提取上的应用现状、适用范围及方法特点;然后重点阐述并列举分析了当前基于不同平台高光谱数据的道路提取应用效果;最后对本文的内容进行了总结,并对未来的发展趋势进行了展望。
Extracting road information from remote sensing (RS) images is a necessary step in traditional RS applications, such as detecting land usage and updating geographic information systems. It is also critical for new infrastructures, such as digital cities and intelligent transportation. Based on their development processes and the different data sources, existing road extraction methods for RS images can mainly be divided into high-resolution imaging, multispectral/hyperspectral imaging, laser/point cloud imaging, and synthetic aperture radar (SAR) imaging. In this review, we introduce the application status, applicable scope, and method characteristics of four RS technologies. Additionally, we analyze the development and current application effects of road-based methods on hyperspectral data from different platforms. Finally, we summarize the content of this paper and discuss future development trends.
冯鹏 , 高峰 . 高分遥感影像中道路信息提取方法综述 [J]. 现代电子技术 , 2015 , 38 ( 17 ): 53 - 57 .
FENG P , GAO F . Method of road information extraction in high resolution remote sensing images [J]. Modern Electronics Technique , 2015 , 38 ( 17 ): 53 - 57 . (in Chinese)
吴亮 , 胡云安 . 遥感图像自动道路提取方法综述 [J]. 自动化学报 , 2010 , 36 ( 7 ): 912 - 922 .
WU L , HU Y A . A Survey of automatic road extraction from remote sensing images [J]. Acta Automatica Sinica , 2010 , 36 ( 7 ): 912 - 922 . (in Chinese)
程江华 , 高贵 , 库锡树 , 等 . SAR图像道路网提取方法综述 [J]. 中国图象图形学报 , 2013 , 18 ( 1 ): 11 - 23 .
CHENG J H , GAO G , KU X SH , et al . . Review of road network extraction from SAR images [J]. Journal of Image and Graphics , 2013 , 18 ( 1 ): 11 - 23 . (in Chinese)
CHENG G L , ZHU F Y , XIANG SH M , et al . . Road centerline extraction via semisupervised segmentation and multidirection nonmaximum suppression [J]. IEEE Geosci. Remote Sens. Lett. , 2016 , 13 ( 4 ): 545 - 549 .
刘如意 . 高分辨率遥感图像道路提取算法研究与改进 [D]. 西安 : 西安电子科技大学 , 2018 .
LIU R Y . Research and Improvement of Road Extraction Algorithm in High Resolution Remote Sensing Images [D]. Xian : Xidian University , 2018 . (in Chinese)
张宏伟 . 高分辨率影像中农村道路提取方法研究 [D]. 重庆 : 重庆大学 , 2016 .
ZHANG H W . The Rural Road Extraction Method Research Based on High Resolution Images [D]. Chongqing : Chongqing University , 2016 . (in Chinese)
裴信彪 , 吴和龙 , 马萍 , 等 . 基于无人机遥感的不同施氮水稻光谱与植被指数分析 [J]. 中国光学 , 2018 , 11 ( 5 ): 832 - 840 .
PEI X B , WU H L , MA P , et al . . Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing [J]. Chinese Optics , 2020 , 28 ( 4 ): 954 - 962 . (in Chinese)
WAN Y CH , SHEN SH H , SONG Y , et al .. A road extraction approach based on fuzzy logic for high-resolution multispectral data [C]. Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007 ), 2007 : 203 - 207 .
ZHANG Q P , COULOIGNERI. . Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery [J] Pattern Recognit. Lett. , 2006 , 27 ( 9 ): 937 - 946 .
ZHANG Q P , COULOIGNERI. . Automated road network extraction from high resolution multi-spectral imagery [C]. ASPRS Annual Conference , 2006 .
MANANDHAR P , MARPU P R , and AUNG Z . Segmentation based traversing-agent approach for road width extraction from satellite images using volunteered geographic information [J]. Appl. Comput. Inform. , 2018 , S2210832718301492 .
DAS S , MIRNALINEE T T , VARGHESE K . Use of salient features for the design of a multistage framework to extract roads from high-resolution multispectral satellite images [J]. IEEE Trans. Geosci. Remote Sens. , 2011 , 49 ( 10 ): 3906 - 3931 .
BAJCSY R , TAVAKOLI M . Computer recognition of roads from satellite pictures [J]. IEEE Trans. Syst. Man Cybern. , 1976 , SMC- 6 ( 9 ): 623 - 637 .
李峰 , 崔希民 , 刘小阳 , 等 . 机载LiDAR点云提取城市道路网的半自动方法 [J]. 测绘科学 , 2015 , 40 ( 2 ): 88 - 92 .
LI F , CUI X M , LIU X Y , et al . . A semi-automatic algorithm of extracting urban road networks from airborne LiDAR point clouds [J]. Science of Surveying and Mapping , 2015 , 40 ( 2 ): 88 - 92 . (in Chinese)
杨娜 , 秦志远 , 晏耀华 , 等 . 面向地面点识别的机载LiDAR点云分割方法研究 [J]. 测绘工程 , 2014 , 23 ( 10 ): 18 - 22 .
YANG N , QIN Z Y , YAN Y H , et al . . An airborne LiDAR point cloud segmentation method for recognizing the ground measurements [J]. Engineering of Surveying and Mapping , 2014 , 23 ( 10 ): 18 - 22 . (in Chinese)
李峰 . 机载LiDAR点云的滤波分类研究 [D]. 北京 : 中国矿业大学 , 2013 .
LI F . A research on filtering and classification of airborne LiDAR point clouds [D]. Beijing : China University of Mining and Technology , 2013 . (in Chinese)
方莉娜 , 杨必胜 . 车载激光扫描数据的结构化道路自动提取方法 [J]. 2013 , 测绘学报 , 42 ( 02 ): 260 - 267 .
FANG L N , YANG B SH . Automated extracting structural roads from mobile Laser scanning point clouds [J]. Acta Geodaetica et Cartographica Sinica , 42 ( 2 ): 260 - 267 . (in Chinese)
罗庆洲 , 尹球 , 匡定波 . 光谱与形状特征相结合的道路提取方法研究 [J]. 2007 , 遥感技术与应用 , 22 ( 2 ): 339 - 344 .
LUO Q Z , YIN Q , KUANG D B . Research on extracting road based on its spectral feature and shape feature [J]. Remote Sensing Technology and Application , 2007 , 22 ( 2 ): 339 - 344 . (in Chinese)
曹广真 , 金亚秋 . 基于水平集方法的多源遥感数据融合及城区道路提取 [J]. 2007 , 电子与信息学报 , 29 ( 6 ): 1464 - 1470 .
CAO G ZH , JIN Y Q . Data fusion of multi-source remote sensing based on level set method and application to urban road extraction [J]. Journal of Electronics & Information Technology , 2007 , 29 ( 6 ): 1464 - 1470 . (in Chinese)
曾妮红 , 岳迎春 , 黄迟 . 融合机载雷达和航空正射影像的道路提取 [J]. 2016 , 测绘科学 , 41 ( 5 ): 96 - 99+151 .
ZENG N H , YUE Y CH , HUANG CH . Fusion of airborne LiDAR and aerial DOM for road extraction [J]. 2016 , Science of Surveying and Mapping , 2016 , 41 ( 5 ): 96 - 99+151 . (in Chinese)
唐伟 , 赵书河 . 基于GVF和Snake模型的高分辨率遥感图像四元数空间道路提取 [J]. 遥感学报 , 2011 , 15 ( 5 ): 1040 - 1052 .
TANG W , ZHAO SH H . Road extraction in quaternion space from high spatial resolution remotely sensed images basing on GVF Snake model [J]. Journal of Remote Sensing , 2011 , 15 ( 5 ): 1040 - 1052 . (in Chinese)
滕鑫鹏 . 遥感图像道路提取研究 [D]. 苏州 : 江苏大学 , 2014 .
TENG X P . Research on Road Extraction of Remote Sensing image [D]. Suzhou : Jiangsu University , 2014 .
NEGRI M , GAMBA P , LISINI G , et al . . Junction-aware extraction and regularization of urban road networks in high-resolution SAR images [J]. IEEE Trans. Geosci. Remote Sens. , 2006 , 44 ( 10 ): 2962 - 2971 .
WESSEL B , WIEDEMANN C , HELLWICH O . Evaluation of automatic road extrac- tion results from SAR imagery [J]. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. , 2002 , 34 ( 4 ): 786 - 791 .
DELL F , GAMBA P . Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking [J]. IEEE Trans. Geosci. Remote Sens. , 2001 , 39 ( 10 ): 2287 - 2297 .
HU X Y , LI Y J , SHAN J , et al . . Road centerline extraction in complex urban scenes from lidar data based on multiple features [J]. IEEE Trans. Geosci. Remote Sens. , 2014 , 52 ( 11 ): 7448 - 7456 .
CLODE S , ROTTENSTEINER F , KOOTSOOKOS P , et al . . Detection and vectorization of roads from lidar data [J]. Photogramm. Eng. Remote Sens. , 2007 , 73 ( 5 ): 517 - 535 .
SHEN W , ZHANG J , and YUAN F . A new algorithm of building boundary extraction based on LIDAR data [J]. 2011 19th International Conference on Geoinformatics , 2011 : 1 - 4 .
MABOUDI M , AMINI J , MALIHI S , et al . . Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images [J]. ISPRS J. Photogramm. Remote Sens. , 2018 , 138 : 151 - 163 .
HUANG X and ZHANG L P . An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery [J]. IEEE Trans. Geosci. Remote Sens. , 2008 , 46 ( 9912 ): 4173 - 4185 .
LIAO W ZH , BELLENSR , PIZURICAA , et al . . Classification of hyperspectral data over urban areas using directional morphological profiles and semi-supervised feature extraction [J]. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , 2012 , 5 ( 4 ): 1177 - 1190 .
MIAO Z L , SHI W ZH , ZHANG H , et al . . Road centerline extraction from high-resolution imagery based on shape features and multivariate adaptive regression splines [J]. IEEE Geosci. Remote Sens. Lett. , 2013 , 10 ( 3 ): 583 - 587 .
NORONHA V , HEROLD M , ROBERTS D , et al .. Spectrometry and hyperspectral remote sensing for road centerline extraction and evaluation of pavement condition [C]. Proceedings of the Pecora Conference , 2002 : 12 .
叶发茂 , 苏林 , 李树楷 , 等 . 高分辨率遥感影像提取道路的方法综述与思考 [J]. 国土资源遥感 , 2006 , 1 : 12 - 17 .
YE F M , SU L , LI SH K , et al . . Review of thought of road extraction from high resolution remote sensing images [J]. Remote Sensing for Land & Resources , 2006 , 1 : 12 - 17 . (in Chinese)
丁国绅 , 易维宁 , 杜丽丽 , 等 . 基于高光谱图像的改进SIFT特征提取与匹配 [J]. 光学 精密工程 , 2020 , 28 ( 4 ): 954 - 962 .
DING G SH , YI W N , DU L L , et al . . Improved SIFT feature extraction and matching technology based on hyperspectral image [J]. Opt. Precision Eng. , 2020 , 28 ( 4 ): 954 - 962 . (in Chinese)
王科举 . 高分辨率遥感图像道路信息提取技术的研究 [D]. 厦门 : 集美大学 , 2012 .
WANG K J . Road Information Extraction Technology Research in High-resolution Remote Sensing Images [D]. Xiamen : Jimei University , 2012 .
RAZIQ A , XU , LI Y A G . Automatic extraction of urban road centerlines from high-resolution satellite imagery using automatic thresholding and morphological operation method [J]. J. Geogr. Inf. Syst. , 2016 , 8 ( 4 ): 517 .
KASS M , WITKIN A , TERZOPOULOS D . Snakes: Active contour models [J]. Int. J. Comput. Vis. , 1988 , 1 ( 4 ): 321 - 331 .
朱长青 , 王耀革 , 马秋禾 , 等 . 基于形态分割的高分辨率遥感影像道路提取 [J]. 测绘学报 , 2004 , 33 ( 4 ): 347 - 351 .
ZHU CH Q , WANG Y G , MA Q H , et al . . Road extraction from high-resolution remotely sensed image based on morphological segmentation [J]. Acta Geodaetica et Cartographica Sinica , 2004 , 33 ( 4 ): 347 - 351 . (in Chinese)
GRUEN A , LI H H . Semi-automatic linear feature extraction by dynamic programming and lsb-snakes [J]. Photogrammetric Engineering and Remote Sensing , 1997 , 63 ( 8 ): 985 - 994 .
孙可 , 张钧萍 . 局部自适应方向模板匹配的高分辨率遥感影像道路提取 [J]. 光学 精密工程 , 2015 , 23 ( 10 ): 509 - 515 .
SUN K , ZHANG J P . Road extraction from high-resolution remote sensing imagery based on local adaptive directional template match [J]. Opt. Precision Eng. , 2015 , 23 ( 10 ): 509 - 515 . (in Chinese)
徐胜军 , 欧阳朴衍 , 郭学源 , 等 . 多尺度特征融合空洞卷积ResNet遥感图像建筑物分割 [J]. 光学 精密工程 , 2020 , 28 ( 7 ): 1588 - 599 .
XU SH J , OUYANG P Y , GUO X Y , et al . . Building segmentation in remote sensing image based on multiscale-feature fusion dilated convolution resnet [J]. Opt. Precision Eng. , 2020 , 28 ( 7 ): 1588 - 599 . (in Chinese)
蔡红玥 . 高分辨率遥感图像城市道路自动提取方法研究 [D]. 北京 : 中国地质大学 , 2015 .
CAI H Y . Urban Roads Auto-Extraction Algorithm for High Resolution Remote Sensing Image [D]. Beijing : China University of Geosciences , 2015 .
GHASEMLOO N , MOBASHERI M R , ZAREA M , et al . . Road and tunnel extraction from SPOT satellite images using neural networks [J]. Joural of Geographic Information System , 2013 , 5 ( 5 ): 69 - 74 .
YANG T , ZHANG L L , WANG H T , et al . . Road vector map change monitoring based on high resolution remote sensing images [J]. Adv. Remote Sens. , 2014 , 3 ( 4 ): 272 .
MOHAMMADZADEH A , TAVAKOLI A , ZOEJ M J V . Road extraction based on fuzzy logic and mathematical morphology from pan-sharpened ikonos images [J]. Photogramm. Rec. , 2006 , 21 ( 113 ): 44 - 60 .
项皓东 . 从高分辨率遥感影像中提取道路信息的方法综述及展望 [J]. 测绘与空间地理信息 , 2013 , 36 ( 8 ): 202 - 206 .
XIANG H D . Review and prospect of road feature extraction from high resolution remote sensing images [J]. Geomatics & Spatial Information Technology , 2013 , 36 ( 8 ): 202 - 206 . (in Chinese)
孟樊 , 方圣辉 . 利用模板匹配和BSnake算法准自动提取遥感影像面状道路 [J]. 武汉大学学报(信息科学版) , 2012 , 37 ( 1 ): 39 - 42 .
MENG F , FANG SH H . Quasi-automatic extraction of zonal roads from remote sensing images using template matching and BSnake model [J]. Geomatics and Information Science of Wuhan University . 2012 , 37 ( 1 ): 39 - 42 . (in Chinese)
谭媛 , 黄辉先 , 徐建闽 , 等 . 基于改进Sobel算子的遥感图像道路边缘检测方法 [J]. 国土资源遥感 , 2016 , 28 ( 3 ): 7 - 11 .
TAN Y , HUANG H SH , XU J M , et al . . Road edge detection from remote sensing image based on improved Sobel operator [J]. Remote Sensing for Land and Resources , 2016 , 28 ( 3 ): 7 - 11 . (in Chinese)
李书晓 , 常红星 . 基于总变分和形态学的航空图像道路检测算法 [J]. 计算机学报 , 2007 , 12 : 2173 - 2180 .
LI SH X , CHANG H X . Road extraction algorithm for aerial images based on total variations and mathematical morphology [J]. Chinese Journal of Computers , 2007 , 12 : 2173 - 2180 . (in Chinese)
HUANG ZH J , ZHANG J F , and XU F J . A multi-stage method to extract road from high resolution satellite image [J]. IOP Conf. Ser. Earth Environ. Sci. , 2014 , 17 : 012207 .
YUAN J Y , WANG D L , WU B , et al . . LEGION-Based automatic road extraction from satellite imagery [J]. IEEE Trans. Geosci. Remote Sens. , 2011 , 49 ( 11 ): 4528 - 4538 .
李建飞 , 文志强 , 胡永祥 , 等 . 基于改进区域生长的遥感影像道路提取 [J]. 计算机工程与应用 , 2016 , 52 ( 2 ): 209 - 213+238 .
LI J F , WEN ZH Q , HU Y X , et al . . Road extraction from remote sensing images based on improved regional growth. computer engineering and applications [J]. Computer Engineering and Applications , 2016 , 52 ( 2 ): 209 - 213+238 . (in Chinese)
余洁 , 余峰 , 张晶 , 等 . 结合区域生长与道路基元的高分辨率遥感影像道路提取 [J]. 武汉大学学报(信息科学版) , 2013 , 38 ( 7 ): 761-764+754 + 887 .
YU J , YU F , ZHANG J , et al . . High resolution remote sensing image road extraction combining region growing and road-unit [J]. Geomatics and Information Science of Wuhan University . 2013 , 38 ( 7 ): 761-764+754 + 887 . (in Chinese)
李洪川 , 楚恒 , 霍英海 . 城市道路的多特征多核SVM提取方法 [J]. 测绘通报 , 2018 , ( 2 ): 72 - 77 .
LI H CH , CHU H , HUO Y H . Multi-feature multiple kernels SVM-based urban road extraction [J]. Bulletin of Surveying and Mapping , 2018 , ( 2 ): 72 - 77 . (in Chinese)
刘笑 , 王光辉 , 杨化超 , 等 . 全卷积神经网络遥感影像道路提取方法 [J]. 遥感信息 , 2018 , 33 ( 1 ): 69 - 75 .
LIU X , WANG G H , YANG H CH , et al . . Road extraction from remote sensing image based on fully convolutional networks [J]. Remote Sensing Information , 2018 , 33 ( 1 ): 69 - 75 . (in Chinese)
GHAMISI P , MAGGIORI E , LI S T , et al . . New frontiers in spectral-spatial hyperspectral image classification: the latest advances based on mathematical morphology, markov random fields, segmentation, sparse representation, and deep learning [J]. IEEE Geosci. Remote Sens. Mag. , 2018 , 6 ( 3 ): 10 - 43 .
ZHAO W Z , DU SH H . Spectral-spatial feature extraction for hyperspectral image classification: a dimension reduction and deep learning approach [J]. IEEE Trans. Geosci. Remote Sens. , 2016 , 54 ( 8 ): 4544 - 4554 .
ABDELLATIF M , PEEL H , COHN A G , et al .. Hyperspectral Imaging for autonomous inspection of road pavement defects [C]. 36th International Symposium on Automation and Robotics in Construction , Banff , AB , Canada , 2019 .
唐伟 , 赵书河 , 王培法 . 面向对象的高空间分辨率遥感影像道路信息的提取 [J]. 地球信息科学 , 2008 , 10 ( 2 ): 257 - 262 .
TANG W , ZHAO SH H , WANG P F . Object-oriented road information extraction from high resolution imagery [J]. Journal of Geo-information Science , 2008 , 10 ( 2 ): 257 - 262 . (in Chinese)
SAMADANI R and VESECKY J F . Finding curvilinear features in speckled images [J]. IEEE Trans. Geosci. Remote Sens. , 1990 , 28 ( 4 ): 669 - 673 .
周岳勇 , 程江华 , 刘通 , 等 . 高分辨率SAR图像道路提取综述 [J]. 计算机科学 , 2020 , 47 ( 1 ): 124 - 135 .
ZHOU Y Y , CHENG J H , LIU T , et al . . Review of road extraction for high-resolution SAR images [J]. Computer Science , 2020 , 47 ( 1 ): 124 - 135 . (in Chinese)
程江华 , 高贵 , 库锡树 , 等 . SAR图像道路网提取方法综述 [J]. 中国图象图形学报 , 2013 , 18 ( 1 ): 11 - 23 .
CHENG J H , GAO G , KU X SH , et al . . Review of road network extraction from SAR images [J]. Journal of Image and Graphics , 2013 , 18 ( 1 ): 11 - 23 .
CANNY J . A computational approach to edge detection [J]. IEEE Trans. Pattern Anal. Mach. Intell. , 1986 , PAMI- 8 ( 6 ): 679 - 698 .
HUBER R and LANG K . Road extraction from high-resolution airborne SAR using operator fusion [C]. IGARSS 2001 . Scanning the Present and Resolving the Future . Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No . 01 CH 37217) , 2001 , 6 : 2813 - 2815 .
DELL’ACQUA F , GAMBA P , LISINI G . Extraction and fusion of street networks from fine resolution SAR data [C]. IEEE International Geoscience and Remote Sensing Symposium , 2002 , 1 : 89 - 91 .
BORGHYS D , PERNEEL C , ACHEROY M . A multivariate contour detector for high-resolution polarimetric SAR images [C]. Proceedings 15th International Conference on Pattern Recognition. ICPR- 2000 , 2000 , 3 : 646 - 651 .
LISINI G , TISON C , TUPIN F , et al . . Feature fusion to improve road network extraction in high-resolution SAR images [J]. IEEE Geosci. Remote Sens. Lett. , 2006 , 3 ( 2 ): 217 - 221 .
尚大帅 , 周勃 , 王江涛 , 等 . 一套基于虚拟格网的城区LiDAR点云数据滤波流程 [J]. 测绘技术装备 , 2015 , 17 ( 2 ): 41 - 43+28 .
SHANG D S , ZHOU BO , WANG J T , et al . . A set of urban LiDAR point cloud data filtering process based on virtual grid [J]. Geomatics Technology and Equipment , 2015 , 17 ( 2 ): 41 - 43+28 . (in Chinese)
陈茂霖 , 万幼川 , 田思忆 , 等 . 一种基于线性KD树的点云数据组织方法 [J]. 测绘通报 , 2016 , ( 1 ): 23 - 27 .
CHEN M L , WAN Y CH , TIAN S Y , et al . . A method of organizing point clouds based on linear KD tree [J]. Bulletin of Surveying and Mapping , 2016 , ( 1 ): 23 - 27 . (in Chinese)
陈永枫 , 徐青 , 邢帅 , 等 . 基于扫描线和虚拟格网的LiDAR点云数据非兴趣点剔除方法 [J]. 测绘工程 , 2013 , 22 ( 6 ): 27 - 30 .
CHEN Y F , XU Q , XING SH , et al . . Non-interest points elimination of LiDAR points cloud eliminate based on scan line and pseudo-grid [J]. Engineering of Surveying and Mapping , 2013 , 22 ( 6 ): 27 - 30 . (in Chinese)
CHEN Q , GONG P , BALDOCCHID , et al . . Filtering airborne laser scanning data with morphological methods [J]. Photogramm. Eng. Remote Sens. , 2007 , 73 ( 2 ): 175 - 185 .
LI Y , YONG B , WU H W . An improved top-hat filter with sloped brim for extracting ground points from airborne lidar point clouds [J]. Remote Sens. , 2014 , 6 ( 12 ): 12885 - 12908 .
蒋晶珏 , 张祖勋 , 明英 . 复杂城市环境的机载Lidar点云滤波 [J]. 武汉大学学报(信息科学版) , 2007 , ( 5 ): 402 - 405 .
JIANG J Y , ZHANG Z X , MING Y . Filtering of Lidar point clouds for complex cityscapes [J]. Geomatics and Information Science of Wuhan University , 2007 , ( 5 ): 402 - 405 . (in Chinese)
WANG W X , WANG J X , SUN G T . Noise reduction and modeling methods of TLS point cloud based on R-tree [C]. 2009 Joint Urban Remote Sensing Event , 2009 : 1 - 5 .
SMADJA L , NINOT J , and GAVRILOVIC T . Road extraction and environment interpretation from LiDAR sensors [C]. IAPRS , 2016 , 38 : 281 - 286 .
CLODE S , KOOTSOOKOS P , and ROTTENSTEINER F . The automatic extraction of roads from LIDAR data [C]. ISPRS , 2004 .
PENG J H , GUANG G . A method for main road extraction from airborne LiDAR data in urban area [C]. 2011 International Conference on Electronics , Communications and Control (ICECC) , 2011 : 2425 - 2428 .
MATKAN A A , HAJEB M , SADEGHIAN S . Road extraction from lidar data using support vector machine classification [J]. Photogramm. Eng. Remote Sens. , 2014 , 80 ( 5 ): 409 - 422 .
HUI ZH Y , HU Y J , JIN SH G , et al . . Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization [J]. ISPRS J. Photogramm. Remote Sens. , 2016 , 118 : 22 - 36 .
ZHAO J P , YOU S Y , and HUANG J . Rapid extraction and updating of road network from airborne LiDAR data [C]. 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) , 2011 : 1 - 7 .
WEI S . Building boundary extraction based on lidar point clouds data [J]. Proceedings of the International Archives of the Photogrammetry , Remote Sensing and Spatial Information Sciences , 2008 , 37 : 157 - 161 .
SUN T L . A detection algorithm for road feature extraction using EO-1 hyperspectral images [C]. IEEE 37th Annual 2003 International Carnahan Conference on Security Technology , Proceedings. , 2003 : 87 - 95 .
CARMON N , BENDOR E . Mapping asphaltic roads’ skid resistance using imaging spectroscopy [J]. Remote Sens. , 10 ( 3 ): 430 .
GARDNER ME , ROBERTS DA , FUNK C , et al .. Road extraction from AVIRIS using spectral mixture and Q-tree filter techniques [C]. Proceedings of the AVIRIS Airborne Geoscience Workshop , 2001 : 27 .
RESENDE M , JORGE S , LONGHITANO G , et al .. Use of hyperspectral and high spatial resolution image data in an asphalted urban road extraction [C]. IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium , 2008 , Ⅲ: 1323 - 1325 .
MOHAMMADI M . Road classification and condition determination using hyperspectral imagery [J]. ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. , 2012 , 39 : B7 .
陈静 , 张静 . 改进高斯过程回归的高光谱空谱联合分类算法 [J]. 光学 精密工程 , 2019 , 27 ( 7 ): 1649 - 1660 .
CHEN J , ZHANG J . Spectral-spatial joint classification of hyperspectral image algorithm based on improved Gaussian process regression [J]. Opt. Precision Eng. , 2020 , 28 ( 4 ): 954 - 962 . (in Chinese)
PAN Y F , ZHANG X F , CERVONEG , et al . . Detection of asphalt pavement potholes and cracks based on the unmanned aerial vehicle multispectral imagery [J]. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , 2018 , 11 ( 10 ): 3701 - 3712 .
JIA J X , WANG Y M , CHEN J S , et al . . Status and application of advanced airborne hyperspectral imaging technology: A review [J]. Infrared Phys. Technol. , 2020 , 104 : 103115 .
刘银年 . “ 高分五号”卫星可见短波红外高光谱相机的研制 [J]. 航天返回与遥感 , 2018 , 39 ( 3 ): 25 - 28 .
LIU Y N . Visible-shortwave Infrared Hyperspectral Imager of GF-5 Satellite [J]. Spacecraft Recovery & Remote Sensing , 2018 , 39 ( 3 ): 25 - 28 . (in Chinese)
0
Views
527
下载量
8
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution