Spatial classification of WorldView-2 multi-angle sequence

Spatial classification of WorldView-2 multi-angle sequence

In this study, we investigate the ability of the spatial data from a multi-angle WorldView-2 image sequence to improve classification accuracy of an urban scene. Specifically, we investigate texure and morphological features as well as a digital height map developed from thirteen images collected ov...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Longbotham, N, Bleiler, C, Chaapel, C, Padwick, C, Emery, W, Pacifici, F
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bridges
Buildings
Morphology
Remote sensing
Satellites
Spatial resolution
Vehicles
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this study, we investigate the ability of the spatial data from a multi-angle WorldView-2 image sequence to improve classification accuracy of an urban scene. Specifically, we investigate texure and morphological features as well as a digital height map developed from thirteen images collected over downtown Atlanta, GA in Dec. 2009. These images were collected sequentially by WorldView-2 within two minutes and range from approximately 30 degrees off-nadir southward to 30 degrees off-nadir northward.
ISSN:2334-0932
2642-9535
DOI:10.1109/JURSE.2011.5764730