Spectral-Spatial Methods for Hyperspectral Image Classification. Review

S. M. Borzov; O. I. Potaturkin

doi:10.3103/S8756699018060079

Spectral-Spatial Methods for Hyperspectral Image Classification. Review

S. M. Borzov, O. I. Potaturkin

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

5 Цитирования (Scopus)

Аннотация

Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers devoted to the most popular ways of using spatial information for increasing the accuracy of classification maps are considered. It is shown that the best results are obtained by using preprocessing of “raw” data before the procedures of pixel-wise spectral classification. Disadvantages, limits, and possible directions for developing existing methods are investigated and analyzed.

Язык оригинала	английский
Страницы (с-по)	582-599
Число страниц	18
Журнал	Optoelectronics, Instrumentation and Data Processing
Том	54
Номер выпуска	6
DOI	https://doi.org/10.3103/S8756699018060079
Состояние	Опубликовано - 1 ноя 2018
Опубликовано для внешнего пользования	Да

Доступ к документу

10.3103/S8756699018060079

Link to publication in Scopus

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Цитировать

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Spectral-Spatial Methods for Hyperspectral Image Classification. Review. / Borzov, S. M.; Potaturkin, O. I.

В: Optoelectronics, Instrumentation and Data Processing, Том 54, № 6, 01.11.2018, стр. 582-599.

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

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