Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation

Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation

The increasing demand for food and rapid population growth have made advanced crop monitoring essential for sustainable agriculture. Deep learning models leveraging multispectral satellite imagery, like Sentinel-2, provide valuable solutions. However, transferring these models to diverse regions is...

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Bibliographic Details
Main Authors: Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
cropland segmentation
crop phenological alignment
transfer deep learning
Sentinel-2
time series
Online Access:https://www.mdpi.com/2072-4292/17/2/283
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