HSCFLNet: Hierarchically Stabilized Cross-Scale Feature Learning Network for Change Detection Under Limited Data

Remote sensing image change detection (CD) is pivotal for urban planning, nonagricultural land monitoring, and damage assessment. At present, CD models typically rely on a large amount of high-quality labeled data. Nevertheless, under limited-data scenarios, they generally suffer from insufficient f...

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Autori principali:	Zhiwei Ye, Mengxuan Li, Wei Yang, Lefei Zhang, Liming Bo, Chuan Xu, Liye Mei, Zhina Song, Yuan Wang, Dingfeng Song
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Change detection (CD) convolution–attention fusion deep supervision limited data
Accesso online:	https://ieeexplore.ieee.org/document/11456058/
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