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DRs-UNet: A Deep Semantic Segmentation Network for the Recognition of Active Landslides from InSAR Imagery in the Three Rivers Region of the Qinghai–Tibet Plateau

At present, Synthetic Aperture Radar Interferometry (InSAR) has been an important technique for active landslides recognition in the geological survey field. However, the traditional interpretation method through human–computer interaction highly relies on expert experience, which is time-consuming...

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Principais autores: Ximing Chen, Xin Yao, Zhenkai Zhou, Yang Liu, Chuangchuang Yao, Kaiyu Ren
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-04-01
Series:Remote Sensing
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Acceso en liña:https://www.mdpi.com/2072-4292/14/8/1848
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