Study on the Intelligent Extraction Based on Hyper-Spectral Characteristics of Typical Vegetation

Jie Zhang; Hao Yan Zhao; Min Xia Zhang

doi:10.4028/www.scientific.net/AMR.1073-1076.1960

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1073-1076Study on the Intelligent Extraction Based on...

Study on the Intelligent Extraction Based on Hyper-Spectral Characteristics of Typical Vegetation

Abstract:

By using hyper-spectral remote sensing data of desert vegetation, the original spectral data was simply pretreated firstly, then first order differential transform and smoothing was the hyper-spectral data. The spectral characteristics of different grassland types were extracted. The results showed that: desert vegetation has some unique spectral features of common green vegetation. However, affected by the underlying surface of spared leaves, low coverage, the spectrum of desert vegetation does not have obvious green peak, and the red edge characteristics decreased with the decline of vegetation coverage.

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Periodical:

Advanced Materials Research (Volumes 1073-1076)

Pages:

1960-1964

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1073-1076.1960

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Online since:

December 2014

Authors:

Jie Zhang*, Hao Yan Zhao, Min Xia Zhang

Keywords:

3S Technology, Hyper-Spectral Characteristics, Intelligent Extraction, Reflectance

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