大连海事大学学报 >
2017 , Vol. 43 >Issue 4: 104 - 111
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.04.015
基于双层案例推理模型的高分辨率遥感影像道路提取方法
收稿日期: 2017-02-09
修回日期: 2017-05-18
网络出版日期: 2017-05-31
基金资助
国家海洋局公益性行业科研专项经费项目（201305023）.
Road information extraction method of high resolution remote sensing image based on bi-level case reasoning model
Received date: 2017-02-09
Revised date: 2017-05-18
Online published: 2017-05-31
为实现高分辨率遥感影像道路信息的自动提取，引入案例推理思想，提取道路影像的光谱、形状、纹理和影像间拓扑关系特征信息，构建多层案例库，在传统案例推理模型的基础上进行改进，提出多层案例推理模型.结合影像预处理、权重分配和分层检索，实现多层案例推理模型的高分影像道路信息提取.通过道路信息提取、案例自学习、案例适用试验及与SVM方法对比分析，证明该方法基本实现道路信息提取的目标.
关键词： 高分辨率遥感影像; 提取方法; 双层案例推理(BCBR); 案例库; 自学习
徐军 , 张鑫淼 , 李建松 . 基于双层案例推理模型的高分辨率遥感影像道路提取方法[J]. 大连海事大学学报, 2017 , 43(4) : 104 -111 . DOI: 10.16411/j.cnki.issn1006-7736.2017.04.015
In order to realize the automatic extraction of road information for high resolution remote sensing images, the case-based reasoning theory was introduced, and the spectrum, shape, texture and topological relationship information of high-resolution remote sensing images were extracted to construct multi-layer case base and improve it based on traditional case reasoning model, then the multi-layer case-based reasoning model was proposed. The high level image road information extraction from multi-layer case-based reasoning model was implemented by combining with image preprocessing, weight allocation and layered retrieval. Experimental results show that the proposed method basically realize the goal of road information by comparing with SVM method, road information extraction, case self-learning and case testing.
［1］ GRUEN A, LI H H.Road extraction from aerial and satellite images by dynamic programming［J］.ISPRS Journal of Photogrammetry and Remote Sensing,1995,50(4):11-20.
［2］ 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):985-995.
［3］AGOURIS P,STEFANIDIS A,GYFTAKIS S. Differential snakes for change detection in road segments［J］.Photogrammetric Engineering &Remote Sensing,2001,67(12):1391-1399.
［4］洪日昌,吴秀清,刘媛,等.低分辨率遥感影像中道路的全自动提取方法研究［J］.遥感学报,2008,12(1):36-45.
HONG R C,WU X Q,LIU Y, et al. Research on roads automatic extraction from low resolution remote sensing image［J］.Journal of Remote Sensing,2008,12(1):36-45.(in Chinese)
［5］史文中,朱长青,王昱.从遥感影像提取道路特征的方法综述与展望［J］.测绘学报,2001,30(3):257-262.
SHI W Z,ZHU C Q,WANG Y. Road feature extraction from remotely sensed image: review and prospects［J］.Acta Geodaetica et Cartographica Sinica,2001,30(3):257-262.(in Chinese)
［6］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 C 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)
［7］杨先武,韦春桃,李彩露，等.基于形态重建的高分辨率遥感影像城市道路提取［J］.地理科学,2011,31(8):917-921.
YANG X W,WEI C T,LI C L, et al. Urban road extraction of high resolution remote sensing based on shape reconstruction［J］.Scientia Geographica Sinica,2011,31(8):917-921.(in Chinese)
［8］吕书强，张思博.基于阈值分割和形态学的高分辨率遥感影像道路提取［J］.北京建筑工程学院学报,2012,28(1):35-39.
LU S Q,ZHANG S B.Road extraction of high resolution remote sensing image based on threshold segmentation and morphology［J］.Journal of Beijing University of Civil Engineering and Architecture,2012,28(1):35-39.(in Chinese)
［9］XIAO Y G,TAN T S,TAY S C. Utilizing edge to extract roads in high-resolution satellite imagery［C］//Image Processing,2005.ICIP 2005.IEEE International Conference on. ［S.l.］: IEEE,2005.
［10］周绍光,徐勇.在高分辨率遥感影像中提取无清晰连续边缘线的道路［J］.测绘学报,2008,37(3):301-307.
ZHOU S G, XU Y. To extract roads with no clear and continuous boundaries in RS images］J］.Acta Geodaetica et Cartographica Sinica,2008,37(3):301-307.(in Chinese)
［11］雷小奇,王卫星,赖均.一种基于形状特征进行高分辨率遥感影像道路提取方法［J］.测绘学报,2009,38(5):457-465.
LEI X Q,WANG W X,LAI J.A method of road extraction from high-resolution remote sensing images based on shape features［J］.Acta Geodaetica et Cartographica Sinica,2009,38(5):457-465.
［12］周绍光,刘娟娟,陈仁喜.从高分辨率遥感影像中提取城市道路的新方法［J］.计算机工程与应用,2010,46(32):216-219.
ZHOU S G,LIU J J,CHEN R X.New method to extract roads in urban area from high-resolution remote sensing imagery［J］.Computer Engineering and Applications,2010,46（32）：216-219.（in Chinese）
［13］张睿,张继贤,李海涛.基于角度纹理特征及剖面匹配的高分辨率遥感影像带状道路半自动提取［J］.遥感学报,2008,12(2):224-232.
ZHANG R,ZHANG J X,LI H T.Semi-automatic extraction of ribbon roads from high resolution remotely sensed imagery based on angular texture signature and profile match［J］.Journal of Remote Sensing,2008,12(2):224-232.(in Chinese)
［14］沈照庆,黄亮,陶建斌.基于支持向量机的高光谱遥感影像道路提取［J］.长安大学学报(自然科学版),2012,32(5):34-38.
SHEN Z Q,HUANG L,TAO J B.Hyperspectral RS image road feature extraction based on SVM［J］.Journal of Chang’an University(Natural Science Edition),2012,32(5):34-38.(in Chinese)
［15］李怡静,胡翔云,张剑清,等.影像与LiDAR数据信息融合复杂场景下的道路自动提取［J］.测绘学报,2012,41(6):870-876.
LI Y J,HU X Y,ZHANG J Q, et al. Automatic road extraction in complex scenes based on information fusion from LiDAR data and remote sensing imagery［J］.Acta Geodaetica et Cartographica Sinica,2012,41(6):870-876.(in Chinese)
［16］郭敏,钱海忠,黄智深,等.道路网智能选取的案例类比推理法［J］.测绘学报,2014,43(7):761-770.
GUO M,QIAN H Z,HUANG Z S, et al. Intelligent road-network selection using cases based reasoning［J］.Acta Geodaetica et Cartographica Sinica,2014,43(7):761-770.(in Chinese)
［17］曹云刚,王志盼,慎利,等.像元与对象特征融合的高分辨率遥感影像道路中心线提取［J］.测绘学报,2016,45(10):1231-1240.
CAO Y G,WANG Z P,SHEN L, et al. Fusion of pixel-based and object-based features for road centerline extraction from high-resolution satellite imagery［J］.Acta Geodaetica et Cartographica Sinica,2016,45(10):1231-1240.(in Chinese)
［18］LI X, GAR-ON YEH A, QIAN J P,et al. A matching algorithm for detecting land use changes using case-based reasoning［J］.Photogrammetric Engineering & Remote Sensing,2009,75(11):1319-1332.
［19］PERNER P. Mining sparse and big data by case-based reasoning［J］.Procedia Computer Science,2014,35:19-33.
［20］黎夏,叶嘉安,廖其芳.利用案例推理(CBR)方法对雷达图像进行土地利用分类［J］.遥感学报,2004,8(3):246-253.
LI X,GAR-ON YEH A,LIAO Q F.Case-based reasoning(CBR) for land use classification using radar images［J］.Journal of Remote Sensing,2004,8(3):246-253.(in Chinese)
［21］刘鹏,杜云艳.基于遥感案例推理的海岸带养殖信息提取［J］.遥感技术与应用,2012,27(6):857-864.
LIU P,DU Y Y.A CBR approach for extracting coastal aquaculture area［J］.Remote Sensing Technology and Application,2012,27(6):857-864.(in Chinese)
［22］冀峰,高新波,谢松云.Mean-shift滤波和直方图增强的图像弱边缘提取［J］.中国图像图形学报,2012,17(6):651-656.
JI F,GAO X B,XIE S Y.Weak edge detection using mean-shift filtering and histogram enhancement［J］.Journal of Image and Graphics,2012,17(6):651-656.(in Chinese)
［23］蔡红玥,姚国清.基于分水岭算法的高分遥感图像道路提取优化方法［J］.国土资源遥感,2013,25(3):25-29.
CAI H Y,YAO G Q.Optimized method for road extraction from high resolution remote sensing image based on watershed algorithm［J］.Remote Sensing for Land and Resource,2013,25(3):25-29.(in Chinese)
［24］王培法,王丽,冯学智,等.遥感图像道路信息提取方法研究进展［J］.遥感技术与应用,2009,24(3):284-290.
WANG P F,WANG L,FENG X Z, et al. Review of road extraction from remote sensing images［J］.Remote Sensing Technology and Application,2009,24(3):284-290.(in Chinese)
［25］邓雪,李家铭,曾浩健,等.层次分析法权重计算方法分析及其应用研究［J］.数学的实践与认识,2012,42(7):93-100.
DENG X,LI J M,ZENG H J, et al. Research on computation methods of AHP wight vector and its applications［J］.Mathematics in Practice and Theory,2012,42(7):93-100.(in Chinese)
［26］ELHALWANY I,MOHAMMED A,WASSIF K T, et al. Enhancements to knowledge discovery framework of SOPHIA textual case-based reasoning［J］.Egyptian Informatics Journal,2014,15(3):211-220.
［27］ZIDI A, BOUHANA A, ABED M, et al. An ontology-based personalized retrieval model using case base reasoning［J］.Procedia Computer Science,2014,35:213-222.
［28］HEIPKE C,MAYER H,WIEDEMANN C, et al. Evaluation of automatic road extraction［C］//Proceedings of the International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences.Tokyo:ISPRS,1997.
/
| 〈 |
|
〉 |