Land cover classification from hyperspectral remotely sensed data: an investigation of spectral, spatial and noise issues.

被引：0

作者：

Foody, GM ^{[1
]}

Sargent, IMJ ^{[1
]}

Atkinson, PM ^{[1
]}

Williams, JW ^{[1
]}

机构：

[1] Univ Southampton, Dept Geog, Southampton SO17 1BJ, Hants, England

来源：

IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The effect of spatial, spectral and noise degradations on the accuracy of two thematic labelling scenarios with hyperspectral data was investigated. Although all of the degradations significantly influenced accuracy, the noise content of the data was consistently noted as a major variable affecting the accuracy of both supervised classification and sub-pixel anomaly detection analyses.

引用

页码：2728 / 2730

页数：3

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