A Visualization Framework for Unsupervised Analysis of Latent Structures in SAR Image Time Series
Author:
Affiliation:
1. Remote Sensing Technology Institute, German Aerospace Center, Wessling, Germany
Funder
H2020 ExtremeEarth project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10127624.pdf?arnumber=10127624
Reference25 articles.
1. Remote Sensing Image Classification: A survey of support-vector-machine-based advanced techniques
2. Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast
3. Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation
4. Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of Training Data
5. Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements
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