[1] Li Ling, Wang QingZhang Xiaoguo, Wang Huiqing,. An algorithm supporting fast scheduling and viewingof remote sensing images in embedded devices [J]. Journal of Southeast University (English Edition), 2011, 27 (3): 270-274. [doi:10.3969/j.issn.1003-7985.2011.03.009]

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An algorithm supporting fast scheduling and viewingof remote sensing images in embedded devices()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

27

Issue:

2011 3

Page:

270-274

Research Field:

Mathematics, Physics, Mechanics

Publishing date:

2011-09-30

Info

Title:

An algorithm supporting fast scheduling and viewingof remote sensing images in embedded devices

Author(s):

Li Ling;  Wang QingZhang Xiaoguo;  Wang Huiqing

School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China

Keywords:

embedded devices;  pyramid;  levels of detail;  image rendering

PACS:

O422.7

DOI:

10.3969/j.issn.1003-7985.2011.03.009

Abstract:

In order to resolve the conflict between the limited resources of embedded devices and the growing amount of massive image data to be shown, a solution for fast images rendering in embedded devices is proposed and implemented. First, an improved algorithm of a multi-resolution tile-pyramid construction which is used for the organization of massive image data is presented. Then, a strategy, adopting technologies such as view-dependent levels of detail, target-tiles quick search and tiles seamless connection, is presented for fast scheduling and viewing of images. The results show that compared with the solution of multi-scale image representations based on wavelet, the proposed solution can improve the rendering speed, and the rendering speed does not depend on the image size, though it increases some data storage space. And the proposed solution is suitable for embedded devices because it can provide real-time and friendly interaction as well as more efficient user experience.

References:

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[12] Yang J Y, Ji S, Zhang Y S, et al. Investigation of dynamic reconstruction methods for remote sensing image pyramids based on multi-resolution characteristic of wavelet transformation[C]//Proc of the 2008 Congress on Image and Signal Processing. Sanya, China, 2008:656-660.
[13] Chi C C, Chung H H. Improved visual tracking using the technique of image pyramid[C]//Proc of the 2009 IEEE International Conference on Robotics and Biomimetics. Guilin, China, 2009:659-664.
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Memo

Memo:

Biographies: Li Ling(1986—), female, graduate; Wang Qing(corresponding author), male, doctor, professor, w3398a@263.net.
Foundation item: The National Public Benefit Research Foundation of China(No. 201111013-02).
Citation: Li Ling, Wang Qing, Zhang Xiaoguo, et al. An algorithm supporting fast scheduling and viewing of remote sensing images in embedded devices[J].Journal of Southeast University(English Edition), 2011, 27(3):270-274.[doi:10.3969/j.issn.1003-7985.2011.03.009]

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