Study of Remote Sensing Image Registration System

Article Preview

Abstract:

Remote sensing image registration system has been widely applied for agriculture, forestry, geology, ocean, meteorology, hydrology and military field, which studies image correction, enhancement and registration based on digital image processing technology. This paper presents system design and realization of registration technology for remote sensing image. Remote sensing image has geometric distortion and needs digital correction by adopting polynomial method at first. Then five kinds of technology are offered to enhance the contrast of remote sensing image including histogram enhancement, grey level transformation enhancement, image smoothing, image sharpening and pseudo color enhancement. Image geometric registration algorithm is carried out to fuse images of the same area acquired at different times on different wave band at last. Test result shows that the method presented has good accuracy and quick speed for realtime application.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

573-576

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Yingying Liu, Meixia Zhou: Research advances of remote sensing image registration technology. Journal of Huainan Teachers College. Vol. 3 (2013), pp.41-46 (In Chinese).

Google Scholar

[2] Qinghe Su, Hong Chen, Wenbang Sun: Overview of remote sensing image recognition methods. Journal of Infrared. Vol. 10 (2010), pp.1-6 (In Chinese).

Google Scholar

[3] Yue Zheng, Hong Chen, Wenbang Sun, Qinghe Su: Review for remote sensing image mosaicking. Journal of Electronic Design Engineering. Vol. 20 (2011), pp.97-100 (In Chinese).

Google Scholar

[4] Chao Chen, Qiming Qin, Tao Jiang, Hongbo Jiang, Ning Zhang: An improved remote sensing image registration method. Journal of Acta Scientiarum Naturalium Universitatis Pekinensis. Vol. 4 (2010), pp.629-635 (In Chinese).

Google Scholar