A novel Lee filtering algorithm based on adaptive size sliding window

Zhiwen Zhao; Lin Liu; Xiaobei Wang; Chengkun Li; Yabo Liu; Dejia Guo

doi:10.1117/12.3019561

23 January 2024 A novel Lee filtering algorithm based on adaptive size sliding window

Zhiwen Zhao, Lin Liu, Xiaobei Wang, Chengkun Li, Yabo Liu, Dejia Guo

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 1297807 (2024) https://doi.org/10.1117/12.3019561
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Lots of speckle noise exists in synthetic aperture radar (SAR) images inherently. The speckle noise causes various difficulties in the subsequent SAR image processing. In this paper, a novel Lee filtering algorithm based on an adaptive size sliding window is proposed. The adaptive sliding window makes the local statistics acquired from the image more accurate, which improves the performance of proposed algorithm on the edge protection and noise filtering. In this paper, a series of comparative experiments for speckle suppression is conducted on both optical simulation images and SAR images. The experimental results show that the performance of the proposed improved Lee filter to suppress speckle noise is better than the traditional Lee filtering algorithm while more details are preserved.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiwen Zhao, Lin Liu, Xiaobei Wang, Chengkun Li, Yabo Liu, and Dejia Guo "A novel Lee filtering algorithm based on adaptive size sliding window", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297807 (23 January 2024); https://doi.org/10.1117/12.3019561

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available