TY - GEN
T1 - An adaptive SAR image speckle reduction algorithm based on undecimated wavelet transform and non-local means
AU - Yang, Fan
AU - Yu, Ze
AU - Li, Chunsheng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Speckle noise is an inherent problem in synthetic aperture radar (SAR) images. Recently, non-local (NL) means performs well in speckle reduction. However, there exist two issues in traditional NL means. Speckle noise and strong targets would affect the correctness, thus resulting in over smoothing and speckles unchanged. In this paper, an improved algorithm combined with wavelet transform and adaptive NL means is proposed. First, linear minimum mean-square error (LMMSE) filtering in undecimated wavelet domain is operated and we get a "clean" image. Second, we eliminate the influence of strong targets adaptively when similarity is derived. At last, under the help of similarity, original image rather than the "clean" image is filtered. Proposed method performs better in both speckle reduction and strong targets preserving compared with the traditional method.
AB - Speckle noise is an inherent problem in synthetic aperture radar (SAR) images. Recently, non-local (NL) means performs well in speckle reduction. However, there exist two issues in traditional NL means. Speckle noise and strong targets would affect the correctness, thus resulting in over smoothing and speckles unchanged. In this paper, an improved algorithm combined with wavelet transform and adaptive NL means is proposed. First, linear minimum mean-square error (LMMSE) filtering in undecimated wavelet domain is operated and we get a "clean" image. Second, we eliminate the influence of strong targets adaptively when similarity is derived. At last, under the help of similarity, original image rather than the "clean" image is filtered. Proposed method performs better in both speckle reduction and strong targets preserving compared with the traditional method.
KW - Non-local means
KW - adaptivity
KW - despeckling
KW - undecimated wavelet
UR - https://www.scopus.com/pages/publications/85007427308
U2 - 10.1109/IGARSS.2016.7729261
DO - 10.1109/IGARSS.2016.7729261
M3 - 会议稿件
AN - SCOPUS:85007427308
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1030
EP - 1033
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -