期刊文献+

多源遥感影像自动配准技术的研究进展 被引量:10

The Research State of the Automatic Registration Techniques of Multi-sensor Remote Sensing Imagery
下载PDF
导出
摘要 综合利用多种不同遥感卫星获取的数据,可以较为全面地反映观测对象的几何和物理特性,有利于后续影像融合、影像分类等操作的进行,但是不同传感器设计各异,使多源影像自动配准难度重重。为此本文首先对自动配准的流程进行简要介绍,进而对国内外多源遥感影像的自动配准技术进行了分析和评述,最后总结了多源遥感影像自动配准技术面临的主要问题,并展望了其未来的发展方向。 By integrating the multi-sensor images together,the geometry and physical features of observation object can be depicted roundly,which makes the subsequent processing such as image fusion,image classification and so on more convenient.But the different design between sensors causes a big difficulty in automatic registration between multi-sensor images.In this paper,first the flow of automatic registration is introduced briefly,then the techniques of automatic registration of multi-sensor remote sensing images are reviewed and analyzed.At last the difficulties of automatic registration of multi-sensor images are summarized,and the prospects are presented.
出处 《遥感信息》 CSCD 2011年第3期121-127,共7页 Remote Sensing Information
基金 863项目(2007AA12Z157) 国家自然科学基金(40901234) 中国科学院知识创新工程青年人才领域前沿项目专项项目(O8S01100CX)
关键词 多源遥感影像 自动配准 特征提取 multi-sensor remote sensing imagery automatic registration feature extraction
  • 相关文献

参考文献38

  • 1B. Ma, S. Lakshmanan, A. O. Hero. Simultaneous detection of lane and pavement boundaries using model-based multisen- sor fusion [J]. IEEE Transactions on Inteliigent Transportation Systems, 2000,1(3) : 135-147. 被引量:1
  • 2F. Melgani,B. A. R. A1 Hashemy,S. M. R. Taha. An explicit fuzzy supervised classification method for multispectral re- mote sensing images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2000,38 (1) :287-295. 被引量:1
  • 3M. J. Carlotto. Detection and analysis of change in remotely-sensed imagery with application to wide area surveillance[J]. IEEE Transactions on Image Processing, 1997,6 (1): 189 - 202. 被引量:1
  • 4P. J. Du, H. P. Zhang,C. Pan, et al. Applications of multi-source remote sensing information to urban environment moni- toring in mining industrial cities [C]//Urban Remote Sensing Joint Event,2007:l-12. 被引量:1
  • 5F. Wallner,R. Graf,R. Dillmann. Real-time map refinement by fusing sonar and active stereo-vision [C]//Proceedings International Conference on Robotics and Automatio n, Computer Graphics. 1995 (3) : 2968-2973. 被引量:1
  • 6M. Pesaresi, A. Gerhardinger, F. Haag. Rapid damage assessment of builtup structures using VHR satellite data in tsu- nami-affected areas [J]. International Journal of Remote Sensing, 2007,28 (13) : 3013 - 3036. 被引量:1
  • 7B. Zitova~ ,J. Flusser. Image registration methods:A survey [J]. Image and Vision Computing,2003(21) :977-1000. 被引量:1
  • 8W. Forstner. A feature based correspondence algorithm for image matching [J]. International Archives of Photogramme- try and Remote Sensing, 1986,26 (3) : 150-166. 被引量:1
  • 9L. G. Brown. A survey of image registration techniques [J]. ACM Computing Survey, 1992,24(4) : 325-376. 被引量:1
  • 10P. ThI evenaz, U. E. Ruttimann, M. Unser. A pyramid approach to subpixel registration based on intensity [J]. IEEE Transactions on Image Processing, 1998,7 (1) :27 - 41. 被引量:1

二级参考文献12

  • 1哈克布思W 林群(译).多重网格方法[M].北京:科学出版社,1988.. 被引量:6
  • 2杨新 郭丰俊 等.一类图像世配方程的有限差分解法[J].上海交通大学学报,1998,32(9):53-56. 被引量:1
  • 3刘忠贵 邸双亮.小波分析及应用[M].西安:西安电子科技大学出版社,1992.. 被引量:1
  • 4Wu Qing X,IEEE Trans on Pattern Analysis and Machine Intelligence,1995年,17卷,8期 被引量:1
  • 5Yan Lamchung,Applied numerical methods for partial differential equations,1994年 被引量:1
  • 6Muhittin Gokmen,IEEE Trans Patt Anal Machine Intell,1993年,8期,492页 被引量:1
  • 7吴立德,计算机视觉,1993年 被引量:1
  • 8刘忠贵,小波分析及其应用,1992年 被引量:1
  • 9李介谷,计算机视觉的理论与实践,1991年 被引量:1
  • 10哈克布思 W,多重网格方法,1988年 被引量:1

共引文献8

同被引文献92

引证文献10

二级引证文献47

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