Terrain categorization using a background spectral library

Author

Cooley, Thomas ; Cipar, J. ; Lockwood, Ryan

Author_Institution

Space Vehicles Directorate, Air Force Res. Lab., Hanscom, MA, USA

Volume

2

fYear

2003

fDate

21-25 July 2003

Firstpage

1029

Abstract

We describe development of a background spectral library for northeastern Virginia, USA, based on hyperspectral images and an extensive land cover database. The library consists of mean spectra and standard deviations measured in 14 areas of uniform land cover. Terrain categorization products include classification maps and fractional abundance maps determined by linear mixture analysis. There is excellent qualitative agreement between the linear unmixing results and the known land covers.

Keywords

geographic information systems; image classification; libraries; remote sensing by radar; spectral analysis; terrain mapping; visual databases; USA; background spectral library; classification maps; fractional abundance maps; hyperspectral images; land cover database; linear mixture analysis; mean spectra; northeastern Virginia; standard deviations; terrain categorization; Geographic Information Systems; Hyperspectral imaging; Hyperspectral sensors; Image databases; Information systems; Libraries; Pixel; Reflectivity; Space vehicles; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294001

Filename

1294001