TY - GEN
T1 - SAR image compression using multiwavelet and soft-thresholding
AU - Wang, Aili
AU - Zhang, Ye
AU - Gu, Yanfeng
PY - 2006
Y1 - 2006
N2 - Synthetic aperture radar (SAR) images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multiwavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper, we propose a compression scheme combing with speckle noise reduction within the multiwavelet framework. Comparing with classical set partitioning in hierarchical trees (SPIHT) algorithm, our method achieves favorable PSNR and performs superior speckle noise reduction.
AB - Synthetic aperture radar (SAR) images are corrupted by multiplicative speckle noise which limits the performance of the classical coder/decoder algorithm in spatial domain. The relatively new transform of multiwavelets can possess desirable features simultaneously, such as orthogonality and symmetry, while scalar wavelets cannot. In this paper, we propose a compression scheme combing with speckle noise reduction within the multiwavelet framework. Comparing with classical set partitioning in hierarchical trees (SPIHT) algorithm, our method achieves favorable PSNR and performs superior speckle noise reduction.
KW - Multiwavelets
KW - SAR image compression
KW - Set partitioning in hierarchical trees (SPIHT)
KW - Spekcle reduction
KW - Synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/34948827531
U2 - 10.1109/IGARSS.2006.911
DO - 10.1109/IGARSS.2006.911
M3 - 会议稿件
AN - SCOPUS:34948827531
SN - 0780395107
SN - 9780780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3553
EP - 3556
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Y2 - 31 July 2006 through 4 August 2006
ER -