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 |
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Страницы (с-по) | 582-599 |
Число страниц | 18 |
Журнал | Optoelectronics, Instrumentation and Data Processing |
Том | 54 |
Номер выпуска | 6 |
DOI | |
Состояние | Опубликовано - 1 ноя 2018 |
Опубликовано для внешнего пользования | Да |