Characterization and delineation of plumes, clouds and fires in hyperspectral images

被引：4

作者：

Griffin, MK ^{[1
]}

Hsu, SM ^{[1
]}

Burke, HHK ^{[1
]}

Snow, JW ^{[1
]}

机构：

[1] MIT, Lincoln Lab, Lexington, MA 02420 USA

来源：

ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY VI | 2000年 / 4049卷

关键词：

hyperspectral; fires; smoke; clouds; AVIRIS; characterization; principal components;

D O I：

10.1117/12.410349

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Two approaches, one for discriminating features in a set of AVIRIS scenes dominated by areas of smoke, plumes, clouds and burning grassland as well as scarred (burned) areas and another for identifying those features are presented here. A semiautomated feature extraction approach using principal components analysis was used to separate the scenes into feature classes. Typically, only 3 component images were used to classify the image. A physics-based approach which utilized the spectral diversity of the features in the image was used to identify the nature of the classes produced in the component analysis. The results from this study show how the two approaches can be used in unison to fully characterize a smoke or cloud-filled scene.

引用

页码：274 / 283

页数：10