A New Mask R-CNN-Based Method for Improved Landslide Detection

A New Mask R-CNN-Based Method for Improved Landslide Detection

This article presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model. A data set of 160 elements is created containing landslide and nonla...

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Bibliographic Details
Main Authors: Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks (CNNS)
global positioning system (GPS)
landslide detection
Mask R-CNN
region based convolutional neural networks (R-CNN)
terrestrial laser scanning (TLS)
Online Access:https://ieeexplore.ieee.org/document/9373966/
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https://ieeexplore.ieee.org/document/9373966/

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