A Hierarchical Extension of General Four-Component Scattering Power Decomposition
Author:
Funder
National Natural Science Foundation of China
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/9/8/856/pdf
Reference29 articles.
1. Four-Component Scattering Power Decomposition Algorithm with Rotation of Covariance Matrix Using ALOS-PALSAR Polarimetric Data
2. Quantitative Analysis of Polarimetric Model-Based Decomposition Methods
3. Unsupervised polarimetric SAR urban area classification based on model-based decomposition with cross scattering
4. Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data
5. A three-component scattering model for polarimetric SAR data
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1. Model-Based Polarimetric SAR Target Decomposition: A Scheme to Introduce Repeat-Pass PolInSAR Coherence;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Exploring Fine Polarimetric Decomposition Technique for Built-Up Area Monitoring;IEEE Transactions on Geoscience and Remote Sensing;2023
3. Polarimetric Decomposition-Based Unified Manmade Target Scattering Characterization With Mathematical Programming Strategies;IEEE Transactions on Geoscience and Remote Sensing;2022
4. Integration of Fine Model-Based Decomposition and Guard Filter for Ship Detection in PolSAR Images;Sensors;2021-06-23
5. Five-Component Decomposition Methods of Polarimetric SAR and Polarimetric SAR Interferometry Using Coupling Scattering Mechanisms;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021
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