SPECKLE REDUCTION IN SAR IMAGES USING A BAYESIAN MULTISCALE APPROACH
Synthetic aperture radar (SAR) images are corrupted by speckles, which influence the interpretation of the images. Therefore, to reduce speckles and obtain reliable information from images, researchers studied different methods. This study proposes a Bayesian multiscale method, to reduce speckles in...
Main Authors: | F. Zakeri, M. R. Saradjian, M. R. Sahebi |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-10-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/1137/2019/isprs-archives-XLII-4-W18-1137-2019.pdf |
Similar Items
-
A fuzzy approach for speckle noise reduction in SAR images
by: Santoso, Ardhi W., et al.
Published: (2016) -
SPECKLE NOISE REDUCTION IN SAR IMAGES USING INFORMATION THEORY
by: D. Chan, et al.
Published: (2020-11-01) -
A Level Set Filter for Speckle Reduction in SAR Images
by: Xiaoxia Huang, et al.
Published: (2010-01-01) -
A Level Set Filter for Speckle Reduction in SAR Images
by: Huang Bo, et al.
Published: (2010-01-01) -
MLC-Net: A Robust SAR Ship Detector With Speckle Noise and Multiscale Targets
by: Congxia Zhao, et al.
Published: (2024-01-01)