A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model

Author:

Nie Xiangli,Zhang Bo,Chen Yunjin,Qiao Hong

Funder

National Natural Science Foundation of China

Strategic Priority Research Program

CAS

BMST

Early Career Development Award of SKLMCCS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DNN-Based PolSAR Image Classification on Noisy Labels;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

2. An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2019-01

3. Denoising of Ultrasound Medical Images Using the DM6437 High-Performance Digital Media Processor;Advanced Topics on Computer Vision, Control and Robotics in Mechatronics;2018

4. MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?;IEEE Transactions on Image Processing;2017-09

5. Adaptive Speckle Filtering for Time Series of Polarimetric SAR Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2017-06

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