Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2009, Vol. 24 Issue (2): 127-131    DOI: 10.11873/j.issn.1004-0323.2009.2.127
    
Geo-Rectification Method for HR Data of CBERS-02B
YOU Shu-cheng,LIU Shun-xi
 (China Land Surveying &|Planning Institute,Beijing 100035,China)
Download:  PDF (1338KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

CBERS-02B can acquire different spatial resolution and multi-spectral data which improves its application ability greatly.In order to verify HR data mapping ability,we made test on what model is suitable for geo-rectification and how many GCPs should be acquired to get a satisfaction result.We also made research on how to cope with the mosaic problem caused by narrow swath and vector image methods is proposed for image acquired at same path and how many public GCPs within overlap region should be acquired is suggested for image acquired at same row.

Key words:   CBERS-02B      Geo-rectification      Narrow swath     
Received:  11 July 2008      Published:  29 February 2012
P 208  
  TP 75  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

YOU Shu-cheng,LIU Shun-xi. Geo-Rectification Method for HR Data of CBERS-02B. Remote Sensing Technology and Application, 2009, 24(2): 127-131.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2009.2.127     OR     http://www.rsta.ac.cn/EN/Y2009/V24/I2/127

[1]  Waltz E,Llinas J.Multi-sensor Data Fusion[M].Boston:Artech House,1990.
[2] Biging G,Congalton R.Advances in Forest Inventory Using Advanced Digital Imagery[M].Venice:Ltaly Kt House,2005.
[3] Sharker A,Shi W Z,Barakat H.Assessment of the Rectification Accuracy of IKONOS Imagery Based on Two-dimensional Models[J].International Journal of Remote Sensing,2005,26(4),2005:719-731.
[4] Congalton R G.Using Spatial Autocorrelation Analysis to Explore Errors in Maps Generated from Remotely Sensed Data[J].Photogrammetric Engineering & Remote Sensing,1988,54(5):587-592.
[5] Hammond T O,Verbyla D L.Optimistic Bias in Classification Accuracy Assessment[J].International Journal of Remote Sensing,1996,17(1):1261-1266.
[6] Hand D J.Construction and Assessment of Classification Rules[M].New York:Wiley House,2002.

7 Helmer E H,Brown S.Mapping Montane Tropical Forest Successional Stage and Land Use with Multi-date Landsat ImageryJ.International Journal of Remote Sensing,2000,21(3):2163-2183.

No Suggested Reading articles found!