The Kernel Regression Method Based on the Multiplicative Model to Reduce Speckle for SAR image

DOI

10.2991/icmse-18.2018.21How to use a DOI?

Keywords

kernel regression; maximum likelihood; multiplicative model; SAR image; speckle;

Abstract

Considering the multiplicative model for speckle noises, the kernel regression base on multiplicative model is built as the maximum likelihood estimation. Then, the gray similarity measure is put up forward based on the Gamma distribution, so the speckle reduction based on the multiplicative model for SAR image is obtained. Experimental results show that the proposed method can reduce speckle noise while preserving targets and edges.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinna Li
AU  - Ke Chen
PY  - 2018/05
DA  - 2018/05
TI  - The Kernel Regression Method Based on the Multiplicative Model to Reduce Speckle for SAR image
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 99
EP  - 103
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.21
DO  - 10.2991/icmse-18.2018.21
ID  - Li2018/05
ER  -