Yingchun Shen; Hai Jin

International Journal of Wireless and Microwave Technologies (IJWMT)

IJWMT Vol. 2, No. 1, 15 Feb. 2012

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A Method of Target Detection in Remote Sensing Image Captured based for Sensor Network

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Author(s)

Yingchun Shen ¹ Hai Jin ^1,*

1. Huazhong University of Science and Technology, Wuhan, 430074, China

2. Wuhan Digital Engineering Institute, Wuhan, 430074, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2012.01.04

Received: 2 Nov. 2011 / Revised: 8 Dec. 2011 / Accepted: 10 Jan. 2012 / Published: 15 Feb. 2012

Index Terms

Sensor network, target detection, hyperspectral image, energy constrained minimization

Abstract

A refined energy constrained minimization method is developed for target detection in hyperspectral remote sensing images captured by unmanned aerial vehicles (UAVs) during their surveillance missions, which has been tested in the experiment under this paper. The experiment result proves, in the detection process, this method can effectively restrain noises so far as the spectral characteristics of any potential target are known, and find sub-pixel targets out effectively from the hyperspectral remote sensing image in unknown background spectrum.

Cite This Paper

Yingchun Shen,Hai Jin,"A Method of Target Detection in Remote Sensing Image Captured based for Sensor Network", IJWMT, vol.2, no.1, pp.23-29, 2012. DOI: 10.5815/ijwmt.2012.01.04

Reference

[1] J. Hill and D. Culler, “A Wireless Embedded Sensor Architecture for System-Level Optimization”, Technical Report, U.C. Berkeley, 2001.

[2] J. C. Harsanyi, “Detection and classification of subpixel spectral signatures in hyperspectral image sequences”, Ph.D. Dissertation, Department of Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, 1993.

[3] J. J. Settle and N. A. Drake, “Linear mixing and the estimation of ground cover proportions”, Int. J. Remote Sensing, Vol.14, No.6, 1993, pp.1159-1177.

[4] C.-I Chang and D. C. Heinz, “Constrained Subpixel Target Detection for Remotely Sensed Imagery”, IEEE Transactions on Geoscience and Remote Sensing, Vol.38, No.3, May 2000, pp.1144-1160.

[5] A. A. Green, M. D. Craig, and C. Shi, “The Application Of The Minimum Noise Fraction Transform To The Compression And Cleaning Of Hyper-spectral Remote Sensing Data”, Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS'88), Vol.3, Sep 1988, pp.1807-1807.

[6] R. A. Schowengerd, Remote sensing: models and methods for image processing, 2nd ed. Academic Press, 1997.

[7] J. Settle, “On Constrained Energy Minimization and the Partial Unmixing of Multispectral Images”, IEEE Transactions on Geoscience and Remote Sensing, Vol.40, No.3, March 2002, pp.718-722.