Natural and artificial target recognition by hyperspectral remote sensing data

Bing Zhang; Liangyun Liu; Yongchao Zhao; Genxing Xu; Lanfen Zheng; Qingxi Tong

doi:10.1117/12.478730

6 August 2002 Natural and artificial target recognition by hyperspectral remote sensing data

Bing Zhang, Liangyun Liu, Yongchao Zhao, Genxing Xu, Lanfen Zheng, Qingxi Tong

Proceedings Volume 4741, Battlespace Digitization and Network-Centric Warfare II; (2002) https://doi.org/10.1117/12.478730
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Recent advances in remote sensing have led the way for the development of hyperspectral sensors and the applications of the hyperspectral data. Hyperspectral remote sensing is a relatively new technology, which is currently being investigated by researchers and scientists with regard to the detection and identification of minerals, terrestrial vegetation, and man-made materials and backgrounds. The airborne hyperspectral imaging data have operationally been used to a number of land-use, natural environment, geology, agriculture and other studies. In this study, airborne hyperspectral imaging data were tested in vegetation and man-made object identification. Natural grassland and artificial grassland, different types of crops, different types of forest and bush, different types of metal slabs in construction project have been precisely classified and greatly identified. In these works, the Operational Modular Imaging Spectrometer (OMIS) provides the imaging spectrometer data. OMIS has 128 spectral bands, including visible, short wave infrared, middle infrared and thermal infrared spectral region. Results suggest that hyperspectral imaging data, especially with short wave infrared and thermal infrared wavelength, have broad application perspectives in object identification.

Citation Download Citation

Bing Zhang, Liangyun Liu, Yongchao Zhao, Genxing Xu, Lanfen Zheng, and Qingxi Tong "Natural and artificial target recognition by hyperspectral remote sensing data", Proc. SPIE 4741, Battlespace Digitization and Network-Centric Warfare II, (6 August 2002); https://doi.org/10.1117/12.478730

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