@inproceedings{6951591caeec46149c8d7337d11af6b9,
title = "An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes",
abstract = "In order to reduce speckle noise and maintain targets' characteristics in SAR image with low signal to noise(SNR), an adaptive speckle reduction algorithm based on the wavelet threshold de-noising and the Forward and Back(FAB) diffusion equation for marine scenes is proposed. First, a new wavelet thresholding de-noising function which can avoid shortcomings of other wavelet de-noising function such as Hard-thresholding, Soft-thresholding and Firm-thresholding function is proposed to filter part of noise and reduce the impact of noise on the FAB operation. Second, how to select suitable constant parameters is analyzed and the improved FAB operation is used to eliminate the influence of discontinuous points generated in wavelet operation, suppress the residual noise and stress targets such as bright points and edge. The effectiveness of the algorithm is verified by the experiments with the GF-3 image.",
keywords = "FAB, GF-3, adaptive speckle reduction, wavelet transform",
author = "Yanjiao Yang and Zegang Ding and Jingyun Liu and Qiang Gao and Xinzhe Yuan and Xiaojun Lu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8127650",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3082--3085",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
}
