Fusion Model for Bridge Automatic Detection in Multi-source 

Remote Sensing Imagery

Jiang Yong-mei; Liu Wei; Lei Lin

Volume 28 Issue 10

Sep. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(10): 1794-1797

Jiang Yong-mei, Liu Wei, Lei Lin. Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1794-1797.

Citation:

Jiang Yong-mei, Liu Wei, Lei Lin. Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1794-1797.

Jiang Yong-mei, Liu Wei, Lei Lin. Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1794-1797.

Citation:

Jiang Yong-mei, Liu Wei, Lei Lin. Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1794-1797.

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Fusion Model for Bridge Automatic Detection in Multi-source Remote Sensing Imagery

Received Date: 2005-02-06
Rev Recd Date: 2005-07-18
Publish Date: 2006-10-19

Abstract

Abstract

Image fusion principles have been widely used in application of imaging remote sensing as an effective means of synergistic combination of information. Image fusion applied for target recognition should be modeling for each different task. A kind of fusion model for bridge automatic detection in multi-source remote sensing image is proposed in the paper, which is designed based on the character of multi-source data, bridge identity and the background feature in remote sensing images. The results of bridge automatic detection in real images of complex scene prove the models validity.

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References(1)

References

Hall D L, Llinas J. Handbook of Multisensor Data Fusion. Boca Raton: CRC Press, 2001, Part I.[2]Jorge E, et al.. Target detection via combination of feature-based target-measure images. SPIE, Florida 1999, Vol. 3720: 345-356.[3]Lallier E, Farooq M. A real time pixel-level based image fusion via adaptive weight averaging. 3rd International Conference on Information Fusion, Fusion 2000, Paris, 2000: 451-461.[4]Pohl C, Van Genderen J L. Multisensor image in remote sensing: concepts, methods and applications[J].Int. J. Remote Sensing.1998, 19(5):823-854[5]Nobuyuki Otsu. A theshold selection method from gray-level histograms[J].IEEE Trans. on System, Man and Cybernetics.1979, 9(1):62-66[6]Burns J B, Hanson A R, Riseman E M. Extracting straight lines[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1986, 8(4):425-445

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