Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation

Generating composite images from satellite data is crucial for crop mapping over defined periods. However, producing reliable composites for cropland segmentation presents challenges, particularly in maintaining temporal coherence and preserving key phenological stages in time series data. This stud...

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Ngā kaituhi matua:	Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Gongliu Yang
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2025-09-01
Rangatū:	International Journal of Applied Earth Observations and Geoinformation
Ngā marau:	Satellite image compositing Sentinel–2 time series Google earth engine Cropland segmentation Deep learning Crop mapping
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S1569843225004510
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!