Land cover classification of PolSAR image using tensor representation and learning
Author:
Affiliation:
1. Northwestern Polytechnical University, Research and Development Institute, Shenzhen
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference33 articles.
1. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution
2. Land Cover Classification for Polarimetric SAR Images Based on Mixture Models
3. On Characterizing High-Resolution SAR Imagery Using Kernel-Based Mixture Speckle Models
4. Classification With a Non-Gaussian Model for PolSAR Data
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Rank and factor loadings estimation in time series tensor factor model by pre-averaging;The Annals of Statistics;2024-02-01
2. Land cover analysis of PolSAR images using probabilistic voting ensemble and integrated support vector machine;Journal of Applied Remote Sensing;2023-10-20
3. SAR data applications in earth observation: An overview;Expert Systems with Applications;2022-11
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