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SAR image despeckling through convolutional neural networks
In this paper we investigate the use of discriminative model learning through Convolutional
Neural Networks (CNNs) for SAR image despeckling. The network uses a residual learning …
Neural Networks (CNNs) for SAR image despeckling. The network uses a residual learning …
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 …
Nonlocal patch similarity based heterogeneous remote sensing change detection
Change detection of heterogeneous remote sensing images is an important and challenging
topic, which has found a wide range of applications in many fields, especially in the …
topic, which has found a wide range of applications in many fields, especially in the …
Sparse-constrained adaptive structure consistency-based unsupervised image regression for heterogeneous remote-sensing change detection
Change detection of heterogeneous multitemporal satellite images is an important and
challenging topic in remote sensing. Since the imaging mechanisms of heterogeneous …
challenging topic in remote sensing. Since the imaging mechanisms of heterogeneous …
MuLoG, or how to apply Gaussian denoisers to multi-channel SAR speckle reduction?
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
Discriminant deep belief network for high-resolution SAR image classification
Classification plays an important role in many fields of synthetic aperture radar (SAR) image
understanding and interpretation. Many scholars have devoted to design features to …
understanding and interpretation. Many scholars have devoted to design features to …