A Deep Active Contour Model for Delineating Glacier Calving Fronts-Reference-Cited by-同舟云学术

A Deep Active Contour Model for Delineating Glacier Calving Fronts

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Heidler Konrad¹^ORCID,Mou Lichao¹^ORCID,Loebel Erik²^ORCID,Scheinert Mirko²^ORCID,Lefèvre Sébastien³^ORCID,Zhu Xiao Xiang¹^ORCID

Affiliation:

1. Chair of Data Science in Earth Observation (SiPEO), Department of Aerospace and Geodesy, School of Engineering and Design, Technical University of Munich (TUM), Munich, Germany

2. Institut für Planetare Geodäsie, Technische Universität Dresden, Dresden, Germany

3. IRISA UMR 6074, Université Bretagne Sud, Vannes, France

Funder

Bundesministerium f?r Bildung und Forschung

German Federal Ministry for Economic Affairs and Climate Action

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10195954.pdf?arnumber=10195954

Reference39 articles.

1. Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features

2. A Metric for Polygon Comparison and Building Extraction Evaluation

3. How to Get the Most Out of U-Net for Glacier Calving Front Segmentation

4. Encoder–decoder with atrous separable convolution for semantic image segmentation;chen;Computer Vision—ECCV 2018,2018

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1. Calving front monitoring at a subseasonal resolution: a deep learning application for Greenland glaciers;The Cryosphere;2024-07-24

2. Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades;PLOS Climate;2024-04-25

3. A high-resolution calving front data product for marine-terminating glaciers in Svalbard;Earth System Science Data;2024-02-20

4. CS-GAC: Compressively sensed geodesic active contours;Pattern Recognition;2024-02