Derivative spectra matching for wetland vegetation identification and by hyperspectral image

Jinnian Wang; Lanfen Zheng; Qingxi Tong

doi:10.1117/12.317781

17 August 1998 Derivative spectra matching for wetland vegetation identification and classification by hyperspectral image

Jinnian Wang, Lanfen Zheng, Qingxi Tong

Author Affiliations +

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317781
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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%.

Citation Download Citation

Jinnian Wang, Lanfen Zheng, and Qingxi Tong "Derivative spectra matching for wetland vegetation identification and classification by hyperspectral image", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317781

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