A Review on SAR Image and its Despeckling
The method of speckle reduction is widely used in synthetic aperture radar (SAR) imagery
over the last three decades. The SAR images are inherently speckled in nature. Speckle …
over the last three decades. The SAR images are inherently speckled in nature. Speckle …
[HTML][HTML] Improving accuracy estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning …
The main objective of this research is to investigate the potential combination of Sentinel-2A
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
Multipolarization time series of Sentinel-1 SAR imagery to analyze variations of reservoirs' water body
In this article, a two-year time-series of multipolarization Sentinel-1 synthetic aperture radar
(SAR) imagery is exploited to analyze the changes in the water-covered area of the Monte …
(SAR) imagery is exploited to analyze the changes in the water-covered area of the Monte …
Fractal analysis and texture classification of high-frequency multiplicative noise in SAR sea-ice images based on a transform-domain image decomposition method
IH Shahrezaei, HC Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Texture in synthetic aperture radar (SAR) images is a combination of the intrinsic texture of
scene backscattering and the texture due to noncoherent high-frequency multiplicative noise …
scene backscattering and the texture due to noncoherent high-frequency multiplicative noise …
Temporal change detection in SAR images using log cumulants and stacked autoencoder
P Planinšič, D Gleich - IEEE geoscience and remote sensing …, 2018 - ieeexplore.ieee.org
This letter proposes a change detection algorithm for damage assessment caused by fires in
Ireland using Sentinel 1 data. The novelty, in this letter, is a feature extraction within tunable …
Ireland using Sentinel 1 data. The novelty, in this letter, is a feature extraction within tunable …
MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real …
The main reason behind degradation in Synthetic Aperture Radar (SAR) images is speckle
noise which is a critical barrier of enhancing Quality of Experience (QoE) in remote sensing …
noise which is a critical barrier of enhancing Quality of Experience (QoE) in remote sensing …
Denoising FMCW ladar signals via EEMD with singular spectrum constraint
R Wang, M Xiang, C Li - IEEE Geoscience and Remote …, 2019 - ieeexplore.ieee.org
Frequency-modulation continuous-wave (FMCW) Laser radar (Ladar) signals may be
polluted by noise, which reduces the recognition precision of the targets. This letter …
polluted by noise, which reduces the recognition precision of the targets. This letter …
[PDF][PDF] Statistical quality analysis of wavelet based sar images in despeckling process
Synthetic aperture radar (SAR) images are mainly denoised by multiplicative speckle noise,
which is due to the consistent behavior of scattering phenomenon known as speckle noise …
which is due to the consistent behavior of scattering phenomenon known as speckle noise …
On the use and denoising of the temporal geometric mean for SAR time series
The increasing availability of synthetic aperture radar (SAR) time series creates many
opportunities for remote sensing applications, but it can be challenging in terms of amount of …
opportunities for remote sensing applications, but it can be challenging in terms of amount of …
A multiplicative Gauss-Newton minimization algorithm: Theory and application to exponential functions
Multiplicative calculus (MUC) measures the rate of change of function in terms of ratios,
which makes the exponential functions significantly linear in the framework of MUC …
which makes the exponential functions significantly linear in the framework of MUC …