A systematic review on recent developments in nonlocal and variational methods for SAR image despeckling
Speckle is a granular deformity that frequently appears in images acquired through coherent
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …
Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images
This work presents a robust graph mapping approach for the unsupervised heterogeneous
change detection problem in remote sensing imagery. To address the challenge that …
change detection problem in remote sensing imagery. To address the challenge that …
Structured graph based image regression for unsupervised multimodal change detection
Change detection for multimodal remote sensing images is an important and challenging
research topic with a wide range of applications in disaster assessment and environmental …
research topic with a wide range of applications in disaster assessment and environmental …
Synthetic aperture radar image and its despeckling using variational methods: A Review of recent trends
Synthetic aperture radar (SAR) has drawn significant interest from the remote sensing
community due to its ability to provide high-resolution images irrespective of weather and …
community due to its ability to provide high-resolution images irrespective of weather and …
SAR image speckle filtering with context covariance matrix formulation and similarity test
SW Chen - IEEE Transactions on Image Processing, 2020 - ieeexplore.ieee.org
Speckle filtering of synthetic aperture radar (SAR) image is a necessary pre-processing for
many subsequent applications. The challenge lies in how to adaptively select a sufficient …
many subsequent applications. The challenge lies in how to adaptively select a sufficient …
Superpixel generation for SAR imagery based on fast DBSCAN clustering with edge penalty
In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture
radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of …
radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of …
Generalized MSFA engineering with structural and adaptive nonlocal demosaicing
L Bian, Y Wang, J Zhang - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
The emerging multispectral-filter-array (MSFA) cameras require generalized demosaicing
for MSFA engineering. The existing interpolation, compressive sensing and deep learning …
for MSFA engineering. The existing interpolation, compressive sensing and deep learning …
SAR image speckle reduction based on nonconvex hybrid total variation model
Speckle noise inherent in synthetic aperture radar (SAR) images seriously affects the visual
effect and brings great difficulties to the postprocessing of the SAR image. Due to the edge …
effect and brings great difficulties to the postprocessing of the SAR image. Due to the edge …
SAR image change detection based on nonlocal low-rank model and two-level clustering
Change detection (CD) has found a wide range of applications in many fields. In this article,
we propose a novel nonlocal low-rank (NLR) based method for multitemporal synthetic …
we propose a novel nonlocal low-rank (NLR) based method for multitemporal synthetic …
SPB-Net: A deep network for SAR imaging and despeckling with downsampled data
K Xiong, G Zhao, Y Wang, G Shi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) typically faces both large-scale data and speckle noise
problems, which, respectively, induce enormous strains on transmission and storage and …
problems, which, respectively, induce enormous strains on transmission and storage and …