期刊文献+

基于微分形态学断面的遥感影像分割方法 被引量:2

Image Segmentation of Remotely Sensed Imagery Based on Differential Morphological Profile
下载PDF
导出
摘要 介绍形态学测地重建与开闭重建运算,提出基于微分形态学断面的影像分割方法。首先生成原始影像的微分形态学断面影像,然后比较得到像点的微分断面特征,最后以微分断面特征为基础实现影像分割。以IKONOS卫星影像为例,该方法能够有效地分割噪声严重、反差较低的遥感影像,同时在保持物体的形状、大小信息等方面具有优势。
出处 《测绘通报》 CSCD 北大核心 2008年第3期22-24,30,共4页 Bulletin of Surveying and Mapping
基金 国家高技术研究发展计划(863计划)资助项目(2003AA783060)
  • 相关文献

参考文献8

  • 1TILTON J C. Hybrid Image Segmentation for Earth Remote Sensing Data Analysis [ J ]. IEEE Trans. on Geoscience and Remote Sensing, 1996, (1) : 703-705.
  • 2章毓晋.图像处理和分析[M].北京:清华大学出版社,1999..
  • 3陈忠,赵忠明.基于区域生长的多尺度遥感图像分割算法[J].计算机工程与应用,2005,41(35):7-9. 被引量:26
  • 4朱长青,王耀革,马秋禾,史文中.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. 被引量:77
  • 5MARTINO P, JON A B. A New Approach for the Morphological Segmentation of High-Resolution Imagery [ J ]. IEEE Trans. on Geoscience and Remote Sensing, 2001, 39(2) : 309-320.
  • 6DECENCIERE F E, MARSHALL S, SERRA J. Application of the Morphological Geodesic Reconstruction to Image Sequence Analysis [ J ]. IEEE Trans. on Vision, Image and Signal Processing, 1997, 144(6) : 339-344.
  • 7韩思奇,王蕾.图像分割的阈值法综述[J].系统工程与电子技术,2002,24(6):91-94. 被引量:330
  • 8ANTONIO P, PABLO M, ROSA P. A New Method for Target Detection in Hyperspectral Imagery Based on Extended Morphological Profiles[ J ]. IEEE Trans. on Geoscience and Remote Sensing, 2003, (6) : 3 772-3 774.

二级参考文献43

  • 1[1]Pal N R,Pal S K.A Review on Image Segmentation Techniques[J].Pattern Recognition,1993,26(9):1277-1294.
  • 2[2]Bhanu B,Lee S,Ming J.Alaptive Image Segmentation Using a Genetic Algorithm[J].IEEE Trans.on System,Man,and Cybernetics,1995,5(12):1543-1565.
  • 3[3]Doyle W.Operation Useful for Similarity-Invariant Pattern Recognition[J].J.Asssoc.Comput.Mach.,1962,9:259-267.
  • 4[4]Lee S,Chung S.A Comparative Performance Study of Several Global Thresholding Techniques for Segmentation[J].Computer Vision,Graphics,and Image Processing,1990,52:171-190.
  • 5[5]Ostu N A.Threshold Selection Method from Gray-Level Histograms[J].IEEE Trans.on System,Man,and Cybernetics,1979,9(1):62-66.
  • 6[6]Tsai W H.Moment-Preserving Thresholding:A New Approach[J].Computer Vision,Graphics,and Image Processing,1985,29:377-393.
  • 7[7]Kittler J,Illingworth J.Minimum Error Thresholding[J].Pattern Recognition,1986,19:41-47.
  • 8[8]Cho S,Haralick R,Yi S.Improvement of Kittler and Illingworth's Minimum Error Thresholding[J].Pattern Recognition,1989,22:609-617.
  • 9[9]Rosenfeld A,De La Torre P.Histgram Concavity Analysis as an Aid in Threshold Selection[J].IEEE Trans.on Systems,Man and Cybernetics,1983,SMC-13:231-235.
  • 10[10]Pun T.A New Method for Gray-Level Picture Thresholding Using the Entroy of the Histgran[J].Signal Processing,1980,2:223-237.

共引文献770

同被引文献20

  • 1宫鹏,黎夏,徐冰.高分辨率影像解译理论与应用方法中的一些研究问题[J].遥感学报,2006,10(1):1-5. 被引量:136
  • 2陈秋晓,陈述彭,周成虎.基于局域同质性梯度的遥感图像分割方法及其评价[J].遥感学报,2006,10(3):357-365. 被引量:28
  • 3LANG S, SCHPFER E, LANGANKE T. Combined Object-based Classification and Manual Interpretation-synergies for a Quantitative Assessment of Parcels and Biotopes[J]. Geocarto International, 2009,24(2):99-114.
  • 4ZHANG Y J. A Survey on Evaluation Methods for Image Segmentation[J]. Pattern Recognition Letters,1996,29(8):1335-1346.
  • 5YANG J, HE Y, CASPERSEN J, et al. A Discrepancy Measure for Segmentation Evaluation from the Perspective of Object Recognition[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2015(101):186-192.
  • 6ZHANG X, FENG X, XIAO P, et al. Segmentation Quality Evaluation Using Region-based Precision and Recall Measures for Remote Sensing Images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015(102):73-84.
  • 7WEIDNER U. Contribution to the Assessment of Segmentation Quality for Remote Sensing Applications[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Science,2008, 37(B7):479-484.
  • 8ZHANG H, FRITTS J E,GOLDMAN S A. Image Segmentation Evaluation: A Survey of Unsupervised Methods[J]. Computer Vision and Image Understanding, 2008,110(2): 260-280.
  • 9LUCIEER A, STEIN A. Existential Uncertainty of Spatial Objects Segmented from Satellite Sensor Imagery[J]. Transactions on Geoscience and Remote Sensing,2002, 40(11): 2518-2521.
  • 10M?LLER M, LYMBURNER L, VOLK M. The Comparison Index: A Tool for Assessing the Accuracy of Image Segmentation[J]. International Journal of Applied Earth Observation and Geoinformation,2007,9(3):311-321.

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部