Comparison Analysis of Recognition Algorithms of Forest-Cover Objects on Hyperspectral Air-Borne and Space-Borne Images

The basic model for the recognition of natural and anthropogenic objects using their spectral and textural features is described in the problem of hyperspectral air-borne and space-borne imagery processing. The model is based on improvements of the Bayesian classifier that is a computational procedu...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Izvestiya. Atmospheric and oceanic physics 2017-12, Vol.53 (9), p.1132-1141
Hauptverfasser:	Kozoderov, V. V., Kondranin, T. V., Dmitriev, E. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anthropogenic factors Bayesian analysis Classifiers Climatology Computer applications Decision making Earth and Environmental Science Earth Sciences Empirical analysis Empirical orthogonal functions Euclidean geometry Geophysics/Geodesy Imagery Learning algorithms Machine learning Methods and Means of Processing and Interpretation of Space Information Object recognition Orthogonal functions Pattern recognition Probability theory Support vector machines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!