Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series

Accurate identification of non-food crops underpins food security by clarifying land-use dynamics, promoting sustainable farming, and guiding efficient resource allocation. Proper identification and management maintain the balance between food and non-food cropping, a prerequisite for ecological sus...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xiongwei Guan, Meiling Liu, Shi Cao, Jiale Jiang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-07-01
Schriftenreihe:	Remote Sensing
Schlagworte:	non-food crop conversion semantic segmentation multi-source remote-sensing data time-series analysis Phenology-Aware Module (PAM) Vision Transformer (VIT)
Online-Zugang:	https://www.mdpi.com/2072-4292/17/14/2346
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