Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery

Airborne SAR is an important data source for crop mapping and has important applications in agricultural monitoring and food safety. However, the incidence-angle effects of airborne SAR imagery decrease the crop mapping accuracy. An active pairwise constraint learning method (APCL) is proposed for c...

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Bibliografski detalji

Glavni autori:	Xingli Qin, Lingli Zhao, Jie Yang, Pingxiang Li, Bingfang Wu, Kaimin Sun, Yubin Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-11-01
Serija:	Remote Sensing
Teme:	synthetic aperture radar (SAR) crop mapping time-series images constrained clustering active constraint learning
Online pristup:	https://www.mdpi.com/2072-4292/14/23/6073
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