The Fusion Change Detection of Remote Sensing Images Based on the DS Evidential Theory

J4 ›› 2011, Vol. 33 ›› Issue (7): 50-54.

• 论文 • Previous Articles Next Articles

The Fusion Change Detection of Remote Sensing Images Based on the DS Evidential Theory

WANG Limin,LEI Lin,ZOU Huanxin

(School of Electronics Science and Engineering,National University of Defense Technology,Changsha 410073,China)

Received:2009-09-12 Revised:2009-12-05 Online:2011-07-21 Published:2011-07-25

Abstract

Abstract:

Change detection at the pixellevel is use the original gray information of different temporal remote sensing images, which are registered previously, to find the change information of the environment. It is perspicuous and easytorealize, and is a generally applied change detection method. As far as the actual algorithm concerned, it can not work allaround among adaptability, robustness, accuracy, and timeeconomy. So in this paper, a novel fusion change detection method based on the DS evidential theory is introduced, which combines the results from different change detection algorithms by the DS fusion tactics and rules, and then the changes that are concerned can be detected at the decisionlevel. The results of the experiments show that the algorithm improves the accuracy and robustness of the change detection, reduces the choosing bound of the threshold, and decreases the impact of the threshold altering on the algorithm.

Key words: change detection;remote sensing image;pixellevel;DS evidential theory;fusion

WANG Limin,LEI Lin,ZOU Huanxin. The Fusion Change Detection of Remote Sensing Images Based on the DS Evidential Theory[J]. J4, 2011, 33(7): 50-54.

References

［1］Singh A. Digital Change Detection Techniques Using Remotely Sensed Data［J］. International Journal of Remote Sensing, 1989,10(6):9891003.
［2］Radke R J,Andra S, AlKofahi O, et al. Image Change Detection Algorithms: A Systematic Survey［J］. IEEE Transactions on Image Processing, 2005, 14(3):294307.
［3］马建文, 田国良, 王长耀,等. 遥感变化检测技术发展综述［J］. 地球科学进展, 2004, 19(2):192196.
［4］廖明生, 朱攀, 龚健雅. 基于典型相关分析的多元变化检测［J］. 遥感学报, 2000, 4(3):197201.
［5］李德仁. 利用遥感图像进行变化检测［J］. 武汉大学学报·信息科学版, 2003, 28(5):712.
［6］Lu D, Mausel P, Brondizio E, et al. Change Detection Techniques［J］. International Journal of Remote Sensing, 2004, 25(12):23652407.
［7］房自立. 基于结构信息的多时相遥感图像变化检测方法研究:［硕士学位论文］［D］. 长沙: 国防科学技术大学, 2006.
［8］Sunar F. An Anlysis of Changes in a MultiDate Data Set: A Case Study in the Ikitelli Area, Istanbul, Turkey［J］. International Journal of Remote Sensing, 1998, 19(2):225235.
［9］雷琳. 多源遥感图像舰船目标特征提取与融合技术研究:［博士学位论文］［D］. 长沙: 国防科技大学,2008.
［10］Dempster A P. Upper and Lower Probabilities Induced by Multivalued Mapping［J］. Annals of Mathematical Statistics, 1967, 38(2):325339.
［11］段新生. 证据理论与决策人工智能［M］. 北京:中国人民大学出版社, 1993.
［12］Shafer G, Logan R. Implementing Dempster’s Rule for Hierarchical Evidence［J］. Artificial Intelligence, 1987, 33(3):271298.
［13］王伟平. 基于聚类分析的遥感图像变化检测方法研究:［硕士学位论文］［D］. 长沙:国防科技大学, 2006.

The Fusion Change Detection of Remote Sensing Images Based on the DS Evidential Theory

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 0

Recommended Articles

Metrics

Comments