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

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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Bibliographic Details
Main Authors: Xingli Qin, Lingli Zhao, Jie Yang, Pingxiang Li, Bingfang Wu, Kaimin Sun, Yubin Xu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
crop mapping
time-series images
constrained clustering
active constraint learning
Online Access:https://www.mdpi.com/2072-4292/14/23/6073

Internet

https://www.mdpi.com/2072-4292/14/23/6073

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