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Proceedings Paper

Derivative spectra matching for wetland vegetation identification and by hyperspectral image
Author(s): Jinnian Wang; Lanfen Zheng; Qingxi Tong
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Paper Abstract

In this paper, we reported some research result in applying hyperspectral remote sensing data in identification and classification of wetland plant species and associations. Hyperspectral data were acquired by Modular Airborne Imaging Spectrometer (MAIS) over Poyang Lake wetland, China. A derivative spectral matching algorithm was used in hyperspectral vegetation analysis. The field measurement spectra were as reference for derivative spectral matching. In the study area, seven wetland plant associations were identified and classified with overall average accuracy is 84.03%.

Paper Details

Date Published: 17 August 1998
PDF: 9 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317781
Show Author Affiliations
Jinnian Wang, Institute of Remote Sensing Application (China)
Lanfen Zheng, Institute of Remote Sensing Application (China)
Qingxi Tong, Institute of Remote Sensing Application (China)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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