Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau

The development of landslide hazards is spatially scattered, temporally random, and poorly characterized. Given the advantages of the large spatial scale and high sensitivity of InSAR observations, InSAR is becoming one of the main techniques for active landslide identification. The difficult proble...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Remote Sensing
المؤلفون الرئيسيون:	Yang Liu, Xin Yao, Zhenkui Gu, Zhenkai Zhou, Xinghong Liu, Xingming Chen, Shangfei Wei
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2022-07-01
الموضوعات:	landslide Mask R-CNN InSAR deep learning instance segmentation
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/14/14/3362

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