Synthetic aperture radar image statistical modeling: Part one-single-pixel statistical models
With the rapid development of spaceborne synthetic aperture radar (SAR) technology and
the acquisition of a large volume of SAR images, SAR image interpretation has become an …
the acquisition of a large volume of SAR images, SAR image interpretation has become an …
SAR image segmentation based on convolutional-wavelet neural network and Markov random field
Synthetic aperture radar (SAR) imaging system is usually an observation of the earths'
surface. It means that rich structures exist in SAR images. Convolutional neural network …
surface. It means that rich structures exist in SAR images. Convolutional neural network …
[HTML][HTML] A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields
Image segmentation is the process of partitioning a digital image into a set of homogeneous
regions (according to some homogeneity criterion) to facilitate a subsequent higher-level …
regions (according to some homogeneity criterion) to facilitate a subsequent higher-level …
Detection and discrimination of ship targets in complex background from spaceborne ALOS-2 SAR images
This paper proposes a novel method for ship detection and discrimination in complex
background from synthetic aperture radar (SAR) images. It first implements a pixel-level land …
background from synthetic aperture radar (SAR) images. It first implements a pixel-level land …
Coarse-to-fine contrastive self-supervised feature learning for land-cover classification in SAR images with limited labeled data
Contrastive self-supervised learning (CSSL) has achieved promising results in extracting
visual features from unlabeled data. Most of the current CSSL methods are used to learn …
visual features from unlabeled data. Most of the current CSSL methods are used to learn …
Scheme of parameter estimation for generalized gamma distribution and its application to ship detection in SAR images
G Gao, K Ouyang, Y Luo, S Liang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In the detection applications of synthetic aperture radar (SAR) data, a crucial problem is
developing precise models for clutter statistics. Generalized gamma distribution (GΓD) has …
developing precise models for clutter statistics. Generalized gamma distribution (GΓD) has …
CFAR ship detection in polarimetric synthetic aperture radar images based on whitening filter
T Liu, J Zhang, G Gao, J Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Polarimetric whitening filter (PWF) can be used to filter polarimetric synthetic aperture radar
(PolSAR) images to improve the contrast between ships and sea clutter background. For this …
(PolSAR) images to improve the contrast between ships and sea clutter background. For this …
Area ratio invariant feature group for ship detection in SAR imagery
X Leng, K Ji, X Xing, S Zhou… - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
Standard deviation (SD) is one of the most famous features for image processing. It is widely
used for ship detection in synthetic aperture radar imagery. However, it is very sensitive to …
used for ship detection in synthetic aperture radar imagery. However, it is very sensitive to …
SAR speckle dependence on ocean surface wind field
A novel physical paradigm is explored in this paper: synthetic-aperture radar (SAR) ocean
speckle is informative. This paper experimentally analyzes the SAR ocean speckle intensity …
speckle is informative. This paper experimentally analyzes the SAR ocean speckle intensity …
Marine environmental impact on CFAR ship detection as measured by wave age in SAR images
DX Bezerra, JA Lorenzzetti, RL Paes - Remote Sensing, 2023 - mdpi.com
Satellite synthetic aperture radar (SAR) images are recognized as one of the most efficient
tools for day/night, all weather and large area monitoring of ships at sea. However, false …
tools for day/night, all weather and large area monitoring of ships at sea. However, false …