期刊文献+

高光谱图像异常目标检测研究进展 被引量:29

Research advance on anomaly detection for hyperspectral imagery
下载PDF
导出
摘要 高光谱图像异常目标检测在国防军用和民用方面都具有重要的理论价值和应用前景,是当前遥感信息和图像处理处理研究领域中的一个热点研究问题。异常检测是在没有任何先验知识的条件下检测图像中出现的人为或异常地物目标。从高光谱异常检测理论入手,介绍了目前高光谱异常检测算法的研究进展和存在问题,最后对异常检测的发展做出了预测。 Hyperspectral imagery anomaly detection, as one of the hottest topics in current remote sensing information processing and image processing, has important theoretical value and has been widely used in military and civilian applications. Anomaly detection aims to detect and label small man-made abnormal targets/objects without any prior knowledge. In this paper, a tutorial overview on anomaly detection for hyperspectral imagery is presented.
出处 《电子测量与仪器学报》 CSCD 2014年第8期803-811,共9页 Journal of Electronic Measurement and Instrumentation
基金 国家自然科学基金(61077079) 黑龙江省自然科学基金重点(ZD201216) 哈尔滨市优秀学科带头人基金(RC2013XK009003) 中国博士后科学基金(2014M551221)资助项目
关键词 高光谱图像 目标检测 异常检测 hyperspectral imagery target detection anomaly detection
  • 相关文献

参考文献52

  • 1TITS L, SOMERS B, COPPIN P. The potential and limitations of a clustering approach for the improved ef- ficiency of multiple endmember spectral mixture analy- sis in plant production system monitoring [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(6): 2273-2286. 被引量:1
  • 2MURPHY R J, MONTEIRO S T, SCHNEIDER S. Evaluating classification techniques for mapping vertical geology using field-based hyperspectral sensors [ J ]. IEEE Transactions on Geoseience and Remote Sensing, 2012, 50(6) : 3066-3080. 被引量:1
  • 3EISMANN M T, STOCKER A D, NASERBADI N M. Automated hyperspectral cueing for civilian search and rescue[ J ]. Proceedings of the IEEE, 2009, 97 (6) : 1031-1055. 被引量:1
  • 4EISMANN T M, STOCKER D A, NASRABADI N. Au- tomated hyperspectral cueing for civilian search and res- cue[J]. Proceeding of the IEEE, 2009, 97(6) : 1031- 1055. 被引量:1
  • 5MANOLAKIS D, SBAW G. Detection algorithm for hy- perspectral imaging applications [ J ]. IEEE Signal Pro- cessing Magazine, 19 : 29-43. 被引量:1
  • 6GOETZ A, VANE G. Imaging spectrometry of earth re- mote sensing[J]. Science, 1985,228: 1147-1153. 被引量:1
  • 7STEIN D W J, BEAVEN S G, HOFF L E, et al. Anomaly detection from hyperspectral imagery [ J ]. IEEE Signal Processing Magazine, 2002(19) : 58-69. 被引量:1
  • 8NASRABADI M N. Hyperspeetral target detection-an o- verview of current and future challenges [ J]. IEEE Sig- nal Processing Magazine, 2013, 31 ( 1 ) : 34-44. 被引量:1
  • 9MANOLAKIS D, TRUSLOW E, PIEPER M. Detection algorithms in hyperspectral imaging systems: an over- view of practical algorithms[ J]. IEEE Signal Processing Magazine, 2013, 31(1): 24-33. 被引量:1
  • 10MATrEOLI S, DIANI M, CORSINI G. A tutorial over- view of anomaly detection in hyperspectral images [ J ]. IEEE A&E Systems Magazine, 2010, 25(7) : 5-27. 被引量:1

二级参考文献117

共引文献102

同被引文献256

引证文献29

二级引证文献221

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