Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity

HU Dingsheng; QIU Xiaolan; Stian N. Anfinsen; LEI Bin

doi:10.11999/JEIT170014

Volume 39 Issue 10

Oct. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(10): 2287-2293

HU Dingsheng, QIU Xiaolan, Stian N. Anfinsen, LEI Bin. Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2287-2293. doi: 10.11999/JEIT170014

Citation:

HU Dingsheng, QIU Xiaolan, Stian N. Anfinsen, LEI Bin. Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2287-2293. doi: 10.11999/JEIT170014

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Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity

doi: 10.11999/JEIT170014

Funds:

The National Natural Science Foundation of China (61331017), The GF-3 High-Resolution Earth Observation System (30-Y20A12-9004-15/16, 03-Y20A11-9001-15/16)

Received Date: 2017-01-03
Rev Recd Date: 2017-03-21
Publish Date: 2017-10-19

Abstract

Abstract

Equivalent Number of Looks (ENL) is an important parameter in statistical modelling of multi-look Polarimetric SAR (PolSAR) data. In some automated applications of PolSAR images, it is necessary to estimate the ENL in an unsupervised way without any manual intervention. The existing unsupervised estimation of ENL can not obtain accurate estimates for the images with high heterogeneity. To address this issue, a novel unsupervised estimation method is proposed here. It combines the mixture elimination and clustering based on texture, which reduces the effect of two main heterogeneity factors, mixture and texture. The validity of this method is evaluated with simulated and real data of different complexity.
- Polarimetric SAR (PolSAR),
- Product model,
- Heterogeneity,
- Equivalent Number of Looks (ENL),
- Unsupervised estimation

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References(20)

References

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