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Wheat Fusarium Head Blight Detection Using UAV-Based Spectral and Texture Features in Optimal Window Size

By combining the spectral and texture features of images captured by unmanned aerial vehicles (UAVs), the accurate and timely detection of wheat Fusarium head blight (FHB) can be realized. This study presents a methodology to select the optimal window size of the gray-level co-occurrence matrix (GLC...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yingxin Xiao, Yingying Dong, Wenjiang Huang, Linyi Liu, Huiqin Ma
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-06-01
Schriftenreihe:Remote Sensing
Schlagworte:
fusarium head blight
unmanned aerial vehicle
hyperspectral
texture features
window size
Online-Zugang:https://www.mdpi.com/2072-4292/13/13/2437
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