Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model-Reference-Cited by-同舟云学术

Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

Published:2023-03-13 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Bhuyan Kushanav¹²^ORCID,Meena Sansar Raj¹²^ORCID,Nava Lorenzo¹^ORCID,van Westen Cees²^ORCID,Floris Mario¹^ORCID,Catani Filippo¹^ORCID

Affiliation:

1. Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, Italy

2. Centre for Disaster Resilience, Department of Applied Earth Sciences, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands

Funder

received

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2182057

Reference64 articles.

1. A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

2. Application of an evidential belief function model in landslide susceptibility mapping

3. Characterization of wetland plant stress using leaf spectral reflectance: Implications for wetland remote sensing

4. Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging

5. Deep learning-based landslide susceptibility mapping

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