Title | ||
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Unsupervised Mixture-Eliminating Estimation of Equivalent Number of Looks for PolSAR Data. |
Abstract | ||
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This paper addresses the impact of mixtures between classes on equivalent number of looks (ENL) estimation. We propose an unsupervised ENL estimator for polarimetric synthetic aperture radar (PolSAR) data, which is based on small sample estimates but incorporates a mixture-eliminating (ME) procedure to automatically assess the uniformity of the estimation windows. A statistical feature derived fro... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TGRS.2017.2734064 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Polarimetric synthetic aperture radar,Synthetic aperture radar,Unsupervised learning,Data models,Scattering,Covariance matrices,Complexity theory | Sampling distribution,Data modeling,Pattern recognition,Test statistic,Synthetic aperture radar,Robustness (computer science),Artificial intelligence,Logarithm,Mathematics,Statistical hypothesis testing,Estimator | Journal |
Volume | Issue | ISSN |
55 | 12 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dingsheng Hu | 1 | 1 | 1.38 |
Stian Normann Anfinsen | 2 | 255 | 20.55 |
Xiaolan Qiu | 3 | 190 | 26.75 |
Anthony Paul Doulgeris | 4 | 116 | 11.14 |
Bin Lei | 5 | 43 | 4.75 |