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NL-SAR: A unified nonlocal framework for resolution-preserving (Pol)(In) SAR denoising
Speckle noise is an inherent problem in coherent imaging systems such as synthetic
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
A review on recent developments in fully polarimetric SAR image despeckling
The use of synthetic aperture radar (SAR) technology with quad-polarization data requires
efficient polarimetric SAR (PolSAR) speckle filtering algorithms. During the last three …
efficient polarimetric SAR (PolSAR) speckle filtering algorithms. During the last three …
[BUKU][B] Remote sensing image fusion: A practical guide
C Pohl, J Van Genderen - 2016 - taylorfrancis.com
Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …
image fusion providing an overview on the sensors and applications. It describes data …
Exploiting patch similarity for SAR image processing: The nonlocal paradigm
Most current synthetic aperture radar (SAR) systems offer high-resolution images featuring
polarimetric, interferometric, multifrequency, multiangle, or multidate information. SAR …
polarimetric, interferometric, multifrequency, multiangle, or multidate information. SAR …
SAR image edge detection: review and benchmark experiments
Edges are distinct geometric features crucial to higher level object detection and recognition
in remote-sensing processing, which is a key for surveillance and gathering up-to-date …
in remote-sensing processing, which is a key for surveillance and gathering up-to-date …
Learning convolutional sparse coding on complex domain for interferometric phase restoration
Interferometric phase restoration has been investigated for decades and most of the state-of-
the-art methods have achieved promising performances for InSAR phase restoration. These …
the-art methods have achieved promising performances for InSAR phase restoration. These …
Nonlocal filtering applied to 3-D reconstruction of tomographic SAR data
In this paper, we introduce two spatially adaptive filtering methods to improve the estimation
of the covariance matrix (CM), which is required for the processing of tomographic SAR data …
of the covariance matrix (CM), which is required for the processing of tomographic SAR data …
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[DeepSeek]
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The typical processing chain for pixel-wise classification from PolSAR images starts with an
optional preprocessing step (eg speckle reduction), continues with extracting features …
optional preprocessing step (eg speckle reduction), continues with extracting features …