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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Land Cover Classification on Hyperspectral Aerospace Imagery by Separation of Spectral Components Mixtures

Том 38, Выпуск 12, 2006, pp. 31-41
DOI: 10.1615/J Automat Inf Scien.v38.i12.40
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Краткое описание

The rigorous algorithm of separation of mixtures of spectral components in pixels of hyperspectral aerospace imagery on the basis of least-squares method with restrictions, is given. The use of separation of mixtures with the known spectrums of components while land cover classification. Subpixel classification is useful for solving different subject-matter problems of remote sensing.

ЦИТИРОВАНО В
  1. Stankevich Sergey, Piestova Iryna, Zaitseva Elena, Rusnak Patrik, Rabcan Jan, Satellite Imagery Spectral Bands Subpixel Equalization Based on Ground Classes’ Topology, 2019 International Conference on Information and Digital Technologies (IDT), 2019. Crossref

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