@inproceedings{68fdace3a4aa40f39c387f9b9bf27b0b,
title = "A novel method of speckle reduction and enhancement for SAR image",
abstract = "A new speckle reduction algorithm is presented in this paper to improve the visualization of synthetic aperture radar (SAR) images. The algorithm contains two steps. First, we propose a speckle reduction filter. This filter use different smoothing effect according to scene of sub-window. So it can maintain the details while noise suppression. Second, we propose a method to enhance the details. We select a neighborhood of pixel and divide it into homogeneous and heterogeneous. Then we use different reconstruction strategy to enhance the texture. After these steps, the speckle noise of SAR images has been decreased and the texture details have been enhanced at the same time. Experiments validate the algorithm with good performance.",
keywords = "Image detail enhancement, SAR image preprocessing, Speckle reduction",
author = "Hao Shi and Liang Chen and Yin Zhuang and Jian Yang and Zhu Yang",
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.2017.8127661",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3128--3131",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
}