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REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (3) : 46-52     DOI: 10.6046/gtzyyg.2016.03.08
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Block adjustment of high resolution satellite image using RFM with the same stripe constraint
PAN Hongbo1, ZOU Zhengrong1, ZHANG Guo2, ZHANG Yunsheng1, WANG Taoyang3
1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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Abstract  

Generally, standard scenes with rational function model (RFM)are provided to users as the common form of high resolution satellite images. Since RFM parameters lack clear physical significance, the geometric constraint relationship of standard scenes in the same stripe could hardly be established even though both attitude and ephemeris errors are stable in the same stripe. On the basis of the difference between stripe scenes and standard scenes, as well as in consideration of the offset effect and integral time differences of standard scenes, a stripe constraint method based on the image-space polynomial model is proposed in this paper, which could be used to constrain the discontinuous standard scenes in the same stripe and realize the stripe-constrained block adjustment of high-resolution images. Triplet stereos covering seven standard scenes of ZY-3 and two adjacent stripes of IRS-P5 were used for the experiment. The results show that, with the proposed method in this paper, less ground control points are required for block adjustment with the same stripe constraint, and the higher accuracy is promised as well.

Keywords GF-1 satellite      Sino-India border      geological disaster      frost weathering debris flow      remote sensing interpretation     
:  TP751.1  
Issue Date: 01 July 2016
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ZHANG Kun
LI Xiaomin
MA Shibin
LIU Shiying
LI Shenghui
Cite this article:   
ZHANG Kun,LI Xiaomin,MA Shibin, et al. Block adjustment of high resolution satellite image using RFM with the same stripe constraint[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(3): 46-52.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.03.08     OR     https://www.gtzyyg.com/EN/Y2016/V28/I3/46

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