Time Correlation Entropy: A Novel Multitemporal PolSAR Feature and Its Application in Salt Lake Classification

Multitemporal polarimetric synthetic aperture radar (PolSAR) data capture the temporal variations in polarization parameters, enabling more accurate land cover classification. Most existing multitemporal PolSAR features rely on comparing only two-time points. These approaches can be limited in captu...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-14
Hauptverfasser:	Zhang, Fan, Meng, Fanle, Ma, Fei, Yin, Qiang, Zhou, Yongsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Correlation Correlation analysis Covariance matrices Covariance matrix dominant scattering mechanism Eigenvalues and eigenfunctions Entropy Entropy (Information theory) interval estimation Lake classification Land cover Land surface Maximum entropy multitemporal polarization feature Normal distribution Parameters polarimetric synthetic aperture radar (PolSAR) Polarization salt field Salt lakes SAR (radar) Scattering Synthetic aperture radar Temporal variations Time series Time series analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!