Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2009, Vol. 21 Issue (1) : 60-63     DOI: 10.6046/gtzyyg.2009.01.13
Technology and Methodology |
THE ADJUSTMENT OF ZY-02B PAN IMAGE
YUE Qing-xing1,3,ZHOU Qiang2,ZHANG Chun-ling5, YOU Shu-cheng6, JIA Yong-hong1, QIU Zhen-ge3,4
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;2. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China;3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China,;4. Chinese Academy of Surveying and Mapping, Beijing 100039, China; 5. Henan Bureau of Surveying and Mapping, Beijing 450003, China; 6. China Academy of Land Surveying and Planning, Beijing 100035, China
Download: PDF(1091 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

This paper describes characteristics of the ZY-02B pan image and its producing process, and then puts forward a simplified method for the replacement of its imaging model. Aimed at solving the problem of inner distortion caused by the installment means of CCD, the authors advanced a computation method for positioning elements through introducing inner elements. The positioning precision was examined by using different ranks of OE ratio, and then the adjustment was made by using some control points, which eliminated most systematic errors and attained a fairly good precision.

Keywords Fuzzy classification      Contextual classification      ScanSAR      Crop discrimination     
: 

TP75

 
Issue Date: 20 May 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
You Shucheng
Zhang Wei
Yan Tailai
Cite this article:   
You Shucheng,Zhang Wei,Yan Tailai. THE ADJUSTMENT OF ZY-02B PAN IMAGE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(1): 60-63.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.01.13     OR     https://www.gtzyyg.com/EN/Y2009/V21/I1/60
[1] ZHANG Xiuyuan, LIU Xiuguo. Study of high-dimensional fuzzy classification based on random forest algorithm[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 87-92.
[2] ZHU Xi, QIN Xianlin, LIAO Jing. Remote sensing mapping for uni-temporal cross-region forest burned area based on fuzzy set theory[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 122-128.
[3] MA Jian-wen, HAN Xiu-zhen, Hasibagan, ZHANG Yue-jin, TANG Jin-yi, XIE Zhi-yu. THE EXPERIMENTAL REMOTE SENSING MONITORING OF THE ORIENTAL MIGRATORY LOCUST PLAGUE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(1): 51-55.
[4] You Shucheng, Zhang Wei, Yan Tailai . THE APPLICATION OF FUZZY CLASSIFICATION TO CROP CLASSIFICATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(1): 39-43.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech