Sparsity Optimization Method for Slow-Moving Landslides Detection in Satellite Image Time-Series

Sparsity Optimization Method for Slow-Moving Landslides Detection in Satellite Image Time-Series

This paper presents a new method based on recent optimization technique to detect slow-moving landslides (

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2019-04, Vol.57 (4), p.2133-2144
Hauptverfasser: Pham, Mai Quyen, Lacroix, Pascal, Doin, Marie Pierre
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science
Correlation
Data
Data processing
Detection
Errors
Field investigations
Field tests
Geophysics
Image detection
Image resolution
Landslides
Landslides & mudslides
Mathematics
Methods
Optical imaging
Optimization
Optimization and Control
Optimization techniques
Outliers (statistics)
Physical properties
Physics
Random noise
Representations
satellite image time-series
Satellite imagery
Satellites
segmentation
Signal and Image Processing
slow-moving landslides
sparsity
Terrain factors
Time series
Time series analysis
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Beschreibung
Zusammenfassung:This paper presents a new method based on recent optimization technique to detect slow-moving landslides (
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2018.2871550