DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data

Current machine learning methods for land subsidence susceptibility mapping (LSSM) predominantly focus on the spatial features of land subsidence conditioning factors (LSCFs), overlooking the sequence relationships that merger after the superposition of these factors. This often leads to unreliable...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Yi He, Binghai Gao, Haowen Yan, Qing Zhang, Lifeng Zhang, Wende Li, Xu He, Jiangang Lu
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Taylor & Francis Group 2025-08-01
Цуврал:	International Journal of Digital Earth
Нөхцлүүд:	Land subsidence susceptibility InSAR CNN LSTM GIS and RS
Онлайн хандалт:	https://www.tandfonline.com/doi/10.1080/17538947.2025.2499199
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!