基于主曲线的遥感图像河岸线提取

郭芸; 王宜怀; 刘纯平; 龚声蓉; 季怡

doi:10.11959/j.issn.1000-436x.2016222

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基于主曲线的遥感图像河岸线提取

学术论文 | 更新时间：2024-06-05

- 基于主曲线的遥感图像河岸线提取
- Bankline extraction in remote sensing images using principal curves
- 通信学报 2016年37卷第11期页码：80-89
- 作者机构：
  
  1. 苏州大学计算机科学与技术学院，江苏苏州215006
  2. 江苏省软件新技术与产业化协同创新中心，江苏南京 210046
  3. 吉林大学符号计算与知识工程教育部重点实验室，吉林长春 130012
  4. 常熟理工学院计算机科学与工程学院，江苏常熟215500
- 作者简介：
  
  [ "郭芸（1979-），女，江苏苏州人，苏州大学讲师，主要研究方向为图像处理、模式识别与计算机视觉等。" ]
  [ "王宜怀（1962-），男，江苏宿迁人，博士，苏州大学教授、博士生导师，主要研究方向为嵌入式系统应用。" ]
  [ "刘纯平（1971-），女，重庆人，博士，苏州大学教授、硕士生导师，主要研究方向为图像处理、模式识别与计算机视觉等。" ]
  [ "龚声蓉（1966-），男，湖北天门人，博士，苏州大学教授、博士生导师，主要研究方向为图像处理、模式识别与计算机视觉等。" ]
  [ "季怡（1973-），女，江苏苏州人，博士，苏州大学副教授，主要研究方向为图像处理、模式识别与计算机视觉等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61170124);国家自然科学基金资助项目(61272258);国家自然科学基金资助项目(61301299);国家自然科学基金资助项目(61272005);国家自然科学基金资助项目(61572085);江苏省自然科学基金资助项目(BK20151254);江苏省自然科学基金资助项目(BK20151260);吉林大学符号计算与知识工程教育部重点实验室基金资助项目(93K172016K08);软件新技术与产业化协同创新中心基金资助项目
- DOI：10.11959/j.issn.1000-436x.2016222
  中图分类号： TP391.41
- 网络首发：2016-11，
  
  纸质出版：2016-11-25
- 稿件说明：
移动端阅览
郭芸, 王宜怀, 刘纯平, 等. 基于主曲线的遥感图像河岸线提取[J]. 通信学报, 2016,37(11):80-89.

Yun GUO, Yi-huai WANG, Chun-ping LIU, et al. Bankline extraction in remote sensing images using principal curves[J]. Journal on Communications, 2016, 37(11): 80-89.
郭芸, 王宜怀, 刘纯平, 等. 基于主曲线的遥感图像河岸线提取[J]. 通信学报, 2016,37(11):80-89. DOI： 10.11959/j.issn.1000-436x.2016222.

Yun GUO, Yi-huai WANG, Chun-ping LIU, et al. Bankline extraction in remote sensing images using principal curves[J]. Journal on Communications, 2016, 37(11): 80-89. DOI： 10.11959/j.issn.1000-436x.2016222.

摘要

针对遥感图像中河岸线提取存在不光滑、容易发生间断等问题，提出一种基于主曲线的河岸线提取方法。该方法在学习过程中结合多边形线(PL

polygonal line)算法和误差反向传播(BP

back propagation)算法，首先学习河流中心骨架主曲线表达，然后再根据提出的左右河岸点集分割方法获得图像中河流的左岸点集和右岸点集，分别学习左右河岸线主曲线的光滑参数表达，最终实现遥感图像中河流中心骨架和河岸线的矢量化描述。主曲线表达解决了河岸线不光滑问题，而左右河岸线分开学习有效解决了因河道窄而导致河岸线间断的问题。在实际遥感图像河流提取实验中，与现有几种河岸线提取方法的对比分析结果表明：基于主曲线的河岸线提取方法提取的河岸线具有更好的光滑性，可以较好地解决在河流较窄处发生间断的问题，所得的河岸线矢量化描述更便于存储和重建，并可作为河流区域的形状特征用于检测与识别。

Abstract

In bankline extraction from remote sensing images

the results are usually rough and segmented. A new bankline extraction method based on the principal curves was proposed. In the learning process

the polygonal line (PL) algorithm and the error back propagation (BP) algorithm were combined. Firstly

the principal curve of the river centerline was learned. Then

a segmentation method was proposed to divide the riparian points into two sets which belong to the left and right bank respectively

and the smooth parameter expressions of the principal curves of the two banklines were given. Finally

the vec-tor description of the river centerline and banklines in remote sensing images were realized. The principal curve descriptions made the extracted banklines smooth

and the separate learning of the two banklines ensured the integrity of the extracted banklines for even narrow river channels. Comparison with the existing methods through experiments on real remote sensing images shows that the proposed method can achieve better smoothness and can be used to solve the problem of discontinuity in narrower channel of a river. The resulting vector descriptions of banklines are more convenient for storage and reconstruc-tion and can be used as shape features for the detection and identification of river area in images.

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Keywords

references

陈生，王宏，沈占锋，等．面向对象的高分辨率遥感影像桥梁提取研究 [J ] . 中国图象图形学报 , 2009 , 14 ( 4 ): 585 - 590 .

CHEN S , WANG H , SHEN Z F , et al . Study on object-oriented ex-tracting bridges from high resolution remote sensing image [J ] . Journal of Image and Graphics , 2009 , 14 ( 4 ): 585 - 590 .

陈爱军 . 大幅面卫星遥感图像中桥梁识别算法 [J ] . 计算机仿真 , 2014 , 31 ( 6 ): 362 - 366 .

CHEN A J . Algorithm for recognizing bridges in large area satellite remote sensing imagery [J ] . Computer Simulation , 2014 , 31 ( 6 ): 362 - 366 .

吴一全，孟天亮，吴诗婳，等．基于二维倒数灰度熵的河流遥感图像分割 [J ] . 华中科技大学学报(自然科学版) , 2014 , 42 ( 12 ): 70 - 74 .

WU Y Q , WU T L , WU S H , et al . Remote sensing images seg-mentation of rivers based on two-dimensional reciprocal gray entropy [J ] . Journal of Huazhong University of Science and Technology (Natural Science Edition) , 2014 , 42 ( 12 ): 70 - 74 .

ZHU H , LI C M , ZHANG L L , et al . River channel extraction from SAR images by combining gray and morphological features [J ] . Cir-cuits Syst Signal Process , 2015 , 34 : 2271 - 2286 .

ZHANG L L , ZHANG Y N , WANG M , et al . Adaptive river segmen-tation in SAR images [J ] . Journal of Electronics , 2009 , 26 ( 4 ): 438 - 442 .

姜浩，冯敏，肖桐，等．基于线状特征增强的 TM 遥感影像细小河流提取方法 [J ] . 测绘学报 , 2014 , 43 ( 7 ): 705 - 710 .

JIANG H , FENG M , XIAO T , et al . A narrow river extraction method based on linear feature enhancement in TM image [J ] . Acta Geodaeti-caet Cartographica Sinica , 2014 , 43 ( 7 ): 705 - 710 .

TIAN Z H , WU C D , CHEN D Y , et al . A novel method of river detec-tion for high resolution remote sensing image based on corner feature and SVM [C ] // Lecture Notes in Computer Science . 2012 : 266 - 273 .

吴一全，李海杰，宋昱 . 基于多特征和WSVM的SAR图像河流目标检测 [J ] . 系统工程与电子技术 , 2015 , 37 ( 6 ): 1288 - 1293 .

WU Y Q , LI H J , SONG Y . Target detection algorithm for rivers in SAR images based on multi-features and WSVM [J ] . Systems Engi-neering and Electronics , 2015 , 37 ( 6 ): 1288 - 1293 .

吴诗婳，吴一全，周建江，等．基于Shearlet变换和Krawtchouk矩不变量的河流SAR图像分割 [J ] . 应用科学学报 , 2015 , 33 ( 1 ): 21 - 31 .

WU S H , WU Y Q , ZHOU J J , et al . Segmentation of SAR image of rivers based on Shearlet transform and Krawtchouk moment invari-ants [J ] . Journal of Applied Sciences—Electronics and Information Engineering , 2015 , 33 ( 1 ): 21 - 31 .

于晓升，吴成东，陈东岳，等．支持向量机和水平集的高分辨率遥感图像河流检测 [J ] . 中国图象图形学报 , 2013 , 18 ( 6 ): 677 - 684 .

YU X S , WU C D , CHEN D Y , et al . Using support vector machine and level set for river detection in high resolution remote sensing im-age [J ] . Journal of Image and Graphics , 2013 , 18 ( 6 ): 677 - 684 .

胡正磊，孙进平，袁运能，等．基于小波边缘提取和脊线跟踪技术的SAR 图像河流检测算法 [J ] . 电子与信息学报 , 2007 , 29 ( 3 ): 524 - 527 .

HU Z L , SUN J P , YUAN Y N , et al . River detection in SAR images based on edge extraction in wavelet domain and ridge tracing tech-nique [J ] . Journal of Electronics ＆ Information Technology , 2007 , 29 ( 3 ): 524 - 527 .

SUN J P , MAO S Y . River detection algorithm in SAR images based on edge extraction and ridge tracing techniques [J ] . International Jour-nal of Remote Sensing , 2011 , 32 ( 12 ): 3485 - 3494 .

吴诗婳，吴一全，周建江，等．利用倒数灰度熵和改进 Chan-Vese 模型进行SAR河流图像分割 [J ] . 测绘学报 , 2015 , 44 ( 11 ): 1255 - 1262 .

WU S H , WU Y Q , ZHOU J J , et al . SAR river image segmentation based on reciprocal gray entropy and improved Chan-Vese model [J ] . Acta Geodaetica et Cartographica Sinica , 2015 , 44 ( 11 ): 1255 - 1262 .

MAIO D , MALTONI D . Direct gray-scale minutiae detection in fin-gerprints [J ] . IEEE Transactions on Pattern Analysis and Machine In-telligence , 1997 , 19 ( 1 ): 27 - 40 .

CASELLES V , KIMMEL R , SAPIRO G . Geodesic active contours [J ] . International Journal of Computer Vision , 1997 , 22 ( 1 ): 61 - 79 .

CHAN T F , VESE L A . Active contours without Edges [J ] . IEEE Transactions on Image Processing , 2001 , 10 ( 2 ): 266 - 277 .

HASTIE T . Principal curves and surfaces [D ] . Palo Alto: Stanford University , 1984 .

HASTIE T , STUETZLE W . Principal curves [J ] . Journal of the American Statistical Association , 1989 , 84 ( 406 ): 502 - 516 .

KÉGl B , KRZYZAK A . Piecewise linear skeletonization using prin-cipal curves [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2002 , 24 ( 1 ): 59 - 74 .

倪劲松，王宜怀 . 始于凸包络线的闭主曲线学习算法研究 [J ] . 计算机科学 , 2007 , 34 ( 4 ): 166 - 170 .

NI J S , WANG Y H . Algorithm study for closed principle curves learning which starts with convex envelope hull [J ] . Computer Science , 2007 , 34 ( 4 ): 166 - 170 .

KÉGL B , KRZYZAK A , LINDER T , et al . Learning and design of principal curves [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2000 , 22 ( 3 ): 281 - 297 .

张军平，王珏 . 主曲线研究综述 [J ] . 计算机学报 , 2003 , 26 ( 2 ): 129 - 146 .

ZHANG J P , WANG J . An overview of principal curves[J]. Chinese Journal of Computers [J ] . Chinese Journal of Computers , 2003 , 26 ( 2 ): 129 - 146 .

阎平凡，张长水 . 人工神经网络与模拟进化计算(第2版) [M ] . 北京 : 清华大学出版社 , 2005 : 186 - 195 .

YAN P F , ZHANG C S . Artificial neural networks and evolutionary computing (2nd ed) [M ] . Beijing : Tsinghua University Press , 2005 : 186 - 195 .

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