Cognitive Technologies for Processing Optical Images of High Spatial and Spectral Resolutionстатья
Статья опубликована в журнале из перечня ВАК
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.
Аннотация:The main stages of the development of technologies for natural and anthropogenic object recognition (cognitive technologies for optical image processing) using remote sensing data are considered
together with computational procedures for atmospheric correction of multispectral and hyperspectral air-space images. The main focus is on recognizing forest ecosystems of various species and age, based on in-flight testing of domestic hyperspectral equipment for a selected test area, where ground-based forest inventory and other observations were carried out. High accuracies of the recognition of separate gradations of ages for the selected pure birch and pine stands are revealed using elaborated software for airborne hyperspectral image processing.