Articles

REVIEW OF THE  DEVELOPMENT OF REMOTE SENSING CHANGE DETECTION TECHNOLOGY

Expand
  • Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2003-05-20

  Revised date: 2003-06-30

  Online published: 2004-04-01

Abstract

The satellites track review, stable and constant sensor parameters, as well as systematic operation plan enable us to continuously observe and depict the Earth surface and to record distinct changes. For the changed information observed, it is necessary to determine whether the change results from the natural processing of biogeophysical factors or the change results from satellite system or from our targets of interest. Therefore, remote sensing change detection technology is much more complex than remote sensing data processing algorithms usually used in our operation system. It is a newly developed remote sensing temporal data processing system by combining selected radiometric correction, image matching, geometric correction and post classification analysis and vector analysis to finish one assignment. It is change target objective oriented procedure by combining remote sensing information science, earth sciences, statistics and computer sciences. In order to promote the remote sensing change detection in Chinese remote sensing community, we wrote this paper based on what we learned from nearly 200 books, articles, papers, project reports and Internet information.

Cite this article

MA Jianwen, TIAN Guoliang, WANG Changyao, YAN Shouxun . REVIEW OF THE  DEVELOPMENT OF REMOTE SENSING CHANGE DETECTION TECHNOLOGY[J]. Advances in Earth Science, 2004 , 19(2) : 192 -196 . DOI: 10.11867/j.issn.1001-8166.2004.02.0192

References

[1] Raynal L. Some Elements for Modeling Updates in Topographic Databases[M]. Proceedings of GIS/lIS Annual Conference and Exposition, 1996.1 223-1 232.  
[2] Ross S Lunetta, Christopher D. Elvidge, Remote Sensing Change Detection[M]. Princeton, USA:Taylor and Frances Press, 1999. 
[3] Ashbindu singh. Digital change detection techniques using remotely sensed data[J].International Journal of Remote Sensing, 1989,10:989-1 003. 
[4] Lorenzo Bruzzone, Diego Fernande Prieto. Automatic analysis of the differnce image for unsupervised change detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000,38(3):1 024-1 030. 
[5] Guo Huadong(郭华东), Shao Yun(邵云), Wang Changlin(王长林), et al. Radar Remote Sensing: Theory and Applications[M].Beijing: Science Press, 2000(in Chinese). 
[6] Song Conghe, Curtis E W. Classification and change detection using landsat TM data: When and how to correct atmospheric effects?[J]. Remote Sensing of Environment, 2001,75:230-244. 
[7] Johnson R D, Kasischeke E S. Change vector analysis: A technique for the multispectral monitoring of land cover and condition[J]. International Journal of Remote Sensing, 1998,19(3):411-426. 
[8] Joon Heo, Thomas W Fitzhugh. A standardized radiometric normalization method for change detection using remotely sensed imagery[J].Photommetric Engineering and Remote Sensing,2000, 66(2):173-181. 
[9] Byrne G F, Crapper P F. Monitoring landcover change by principal component analysis of multitemporal Landsat data[J]. Remote Sensing of Environment, 1980, 10:175-184. 
[10] Knut C, Nielsen A A. A test statistic in the complex distribution and its application to change detection in polar metric SAR data[J]. IEEE Transaction on Geoscience and Remote Sensing,2003,41(1):1 493-1 502.  
[11] Chen Shupeng(陈述彭), Tong Qingxi(童庆喜), Guo Huadong(郭华东). The Study of Remote Sensing Mechanisms[M]. Beijing: Science Press,1998(in Chinese). 
[12] Wu Xinghui(吴兴惠), Wang Caijun(王彩君). Sensor and Signal Processing[M]. Beijing: Electronic Industry Press, 1998(in Chinese). 
[13] Wang Chao(王超), Zhang Hong(张红), Liu Zhi(刘智). Space Borne Synthetic Aperture Radar Interferometry[M]. Beijig:Sceince Press,2002. 
[14] Fitzgerald R W, Lees B G. Assessing the classification accuracy of multisource remote sensing data[J]. Remote Sensing of Environment, 1994,47:362-368. 
[15]Eric F L, Strahler A H. Change-Vector analysis in multitemporal space: A tool to detect and categorize landcover change process using high temporalresolution satellite data[J]. Remote Sensing of Environment, 1994,48:231-244. 
[16]Terry L S. Change analysis in the united Arab emirates: An investigation of techniques[J]. Photommetric Engineering and Remote Sensing,1999, 65(4):475-484. 
[17]Loveland T R,Sohl S V. A strategy for estimating the rates of resent united states land-cover changes[J]. Photommetric Engineering and Remote Sensing, 2002,68(10):1 091-1  099. 
[18]Maria M, Gonzalez l. Detecting spatial and temporal patterns in NDVI time series using histograms[J]. International Journal of Remote Sensing, 2002, 28(2):275-290. 
[19]Jeff K.User-specified bi-directional reflectance functions[EB/OL].http:// stratus. ssec wisc. Edu/streamer/useman/surfalb.html. 
[20]Zhen Lizhong(郑立中), Cheng Wanxiu(陈万秀). The review of current remote sensing application sand global position techniques in China[J]. Remote Sensing Information(遥感信息), 2000,1:1-4(in Chinese). 
[21]Ha Sibagan(哈斯巴干), Ma Jianwen(马建文), Li Qiqing(李启青). Aster data classification using selforgnizing neural network methods[J].Advance in Earth Sciences(地球科学进展), 2003,18(3):345-350(in Chinese). 
[22]Sun Shu(孙枢). Earth data—An important resources for geoscience innovation[J]. Advance in Earth Sciences(地球科学进展),2003,18(3):334-337(in Chinese). 
[23] Sun Honglie(孙鸿烈), Liu Chuang(刘闯). Study on frontiers of world scientific data[J].Advance in Earth Science(地球科学进展),2003,18(3): 329-333(in Chinese).

Outlines

/