Skip to main content

An Automatic Precise Registration Method Based on the Relative Geometric Calibration Between Bands for Satellite Multi-spectral Image

  • Conference paper
  • First Online:
Book cover 3rd International Symposium of Space Optical Instruments and Applications

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 192))

  • 1158 Accesses

Abstract

A registration method for satellite multi-spectral image is proposed, which is based on the relative geometric calibration between bands. This method precisely calibrate the relative geometric distortion of reference and non- reference band, and ensure that the exact geometric imaging models of different band images have great relative geometric accuracy. Based on the exact geometric imaging model and the same-name pixels positioning consistency, the exact same-name pixels conversion relationship of reference band and non-reference band can be obtained, which can guarantee that the accurate automatic multi-spectral image registration can be realized without image matching. This method is a real geometrically registration, and the correction model between bands is exact geometric imaging model. It is theoretically rigorous, and the registration result couldn’t be affected by the image quality. In order to verify the correctness and feasibility of this method, the experiment has been carried out on ZY-3 satellite multi-spectral image. By now, this method has been successfully applied in the satellite images pre-treatment process.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. WANG Honghai, XU Jianyan, LONG Xiaoxiang. An Automated Evaluation Method of Sub-Pixel Band-To-Band Registration Accuracy for Satellite Multi-spectral Image [J]. Spacecraft Recovery & Remote Sensing, 2010,31(5):32–37.

    Google Scholar 

  2. XU Liyan, WANG Jing, et al. Multi-Spectral Remote Sensing Image Registration Based on Feature Point [J]. Computer Science, 1998, 23(4):320-323.

    Google Scholar 

  3. Chander G, Saunier S, et al. SSTL UK-DMC SLIM-6 Data Quality Assessment [J]. IEEE Transactions On Geoscience and Remote Sensing, 2009, 47(7) : 2380–2391.

    Google Scholar 

  4. LI Jun, ZHOU Yueqing, LI Deren. A New Fusion Approach Based On Local Histogram Matching Filtering Techniques [J]. Acta Geodaetica et Cartographica Sinica, 1999, 28(3):226–231.

    Google Scholar 

  5. Alexander W, David A. Clausi. ARRSI: Automatic Registration of Remote-Sensing Images [J].IEEE Transactions on Geoscience and Remote Sensing. 2007, 45(5):1483–1493.

    Google Scholar 

  6. YANG Huachao, ZHANG Lei, et al. An Automated Image Registration Method with High Accuracy Based on Local Homography Constraint [J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(3):401–408.

    Google Scholar 

  7. Keller Y, Averbuch A. Multisensor Image Registration via Implicit Similarity. [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(5): 794–801.

    Google Scholar 

  8. YANG Changqing, WANG Xiaotong, et al. Automatic Registration of Aerophotos Based on Feature Space [J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(4):302–310.

    Google Scholar 

  9. LI Qiaoliang, WANG Guoyou, et al. Robust Scale-invariant Feature Matching for Remote Sensing Image Registration [J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 287–291.

    Google Scholar 

  10. HONG G, ZHANG Y. WAVELET-BASED Image Registration Technique for High-Resolution Remote Sensing Images [J]. Computer & Geosciences, 2008, 34:1708–1720.

    Google Scholar 

  11. ZHANG Qian, LIU Zhengkai, et al. Automated Registration of Aerophotos Based on SUSAN Operator [J]. Acta Geodaetica et Cartographica Sinica, 2003, 32(3):245–250.

    Google Scholar 

  12. YAN Ming, WANG Zhiyong, et al. Multi-Spectral Image Registration Method Based on CCD Geometric Bias Model [J]. Journal of Remote Sensing, 2012, 16(6):1145–1156.

    Google Scholar 

  13. TANG Xinming, ZHANG Guo, et al. Triple Linear-array Imaging Geometry Model of Ziyuan-3 Surveying Satellite and Its Validation [J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(2):191–198.

    Google Scholar 

  14. YUAN Xiuxiao, YU Junpeng. Calibration of Constant Angular Error for High Resolution Remotely Sensed Imagery [J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(1):36–41.

    Google Scholar 

  15. Hirt C, Filmer M S, et al. Comparison and Validation of the Recent Freely Available ASTER GDEM Ver1,SRTM Ver4.1 and GEODATA DEM-9S Ver3 Digital Elevation Models over Australia [J]. Australian Journal of Earth Sciences, 2010, 50:337–347.

    Google Scholar 

  16. Nikolakopoulos K G, et al. SRTM vs ASTER Elevation products. Comparison for two regions in Crete, Greece [J]. International Journal of Remote Sensing, 2006, 27(21):4819–4838.

    Google Scholar 

  17. HU Fen. Research on Inner FOV Stitching Theories and Algorithms for Sub-images of Three Non-collinear TDICCD Chips [D]. Wuhan: Wuhan University, 2010.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to He Wei .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Wei, H., Xiaoxiang, L., Jing, Y., Chi, Z. (2017). An Automatic Precise Registration Method Based on the Relative Geometric Calibration Between Bands for Satellite Multi-spectral Image. In: Urbach, H., Zhang, G. (eds) 3rd International Symposium of Space Optical Instruments and Applications. Springer Proceedings in Physics, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-49184-4_31

Download citation

Publish with us

Policies and ethics