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A Deep Active Contour Model for Delineating Glacier Calving Fronts
Konrad Heidler
, Lichao Mou
, Erik Loebel
, Mirko Scheinert
, Sebastien Lefevre
,
Xiao Xiang Zhu
Chair of Data Science in Earth Observation
Technical University of Munich
Technische Universität Dresden
Université Bretagne-Sud
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
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Keyphrases
Glacier Calving
100%
Calving Front
100%
Active Contour Model
100%
Edge Detection
66%
Contour Detection
66%
Adaptation
33%
Feature Extraction
33%
Machine Learning
33%
Semantic Segmentation
33%
Segmentation Problem
33%
Convolutional Neural Network
33%
Design Decisions
33%
Model Prediction
33%
Pixel-wise
33%
Dense Prediction
33%
Greenland
33%
Outlet Glacier
33%
Real-world Problems
33%
Model Code
33%
Model Prediction Error
33%
Contour Tracing
33%
Animation Models
33%
Large-scale Dataset
33%
Machine Learning Tasks
33%
Computer Science
Edge Detection
100%
Active Contour Model
100%
Model Prediction
100%
Machine Learning
100%
Learning System
100%
Image Segmentation
50%
Segmentation Task
50%
Convolutional Neural Network
50%
Real-World Problem
50%
Intermediate Step
50%
Feature Extraction
50%
Earth and Planetary Sciences
Machine Learning
100%
Edge Detection
100%
Pattern Recognition
50%
Greenland
50%