A generalized control chart for anomaly detection in SAR imagery
Synthetic aperture radar (SAR) imagery is widely used in Earth observation (EO)
applications such as land-use change monitoring and target detection. For such …
applications such as land-use change monitoring and target detection. For such …
CNN-based change detection algorithm for wavelength-resolution SAR images
This letter presents an incoherent change detection algorithm (CDA) for wavelength-
resolution synthetic aperture radar (SAR) based on convolutional neural networks (CNNs) …
resolution synthetic aperture radar (SAR) based on convolutional neural networks (CNNs) …
A wavelength-resolution SAR change detection method based on image stack through robust principal component analysis
Recently, it was demonstrated that low-frequency wavelength-resolution synthetic aperture
radar (SAR) images could be considered to follow an additive mixing model due to their …
radar (SAR) images could be considered to follow an additive mixing model due to their …
Comparative analyses of unsupervised PCA K-means change detection algorithm from the viewpoint of follow-up plan
In this study, principal component analysis and k-means clustering (PCAKM) methods for
synthetic aperture radar (SAR) data are analyzed to reduce the sensitivity caused by …
synthetic aperture radar (SAR) data are analyzed to reduce the sensitivity caused by …
Enhancing Change Detection in Ultra-Wideband VHF SAR Imagery: An Entropy-Based Approach with Median Ground Scene Masking
PRB Da Silva, JG Vinholi, DI Alves… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We propose an algorithm based on information theory to detect changes in ultra-wideband
(UWB) very-high frequency (VHF) synthetic aperture radar (SAR) images with high …
(UWB) very-high frequency (VHF) synthetic aperture radar (SAR) images with high …
Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery
Robust principal component analysis (RPCA) has been widely used for processing and
interpreting high-dimensional data in different applications such as data classification, face …
interpreting high-dimensional data in different applications such as data classification, face …
Change detection based on convolutional neural networks using stacks of wavelength-resolution synthetic aperture radar images
This article presents two supervised change detection algorithms (CDAs) based on
convolutional neural networks (CNNs) that use stacks of coregistered wavelength-resolution …
convolutional neural networks (CNNs) that use stacks of coregistered wavelength-resolution …
Mapping and assessing spatial extent of floods from multitemporal synthetic aperture radar images: a case study over Adyar watershed, India
S Sundaram, S Devaraj, K Yarrakula - Environmental Science and …, 2023 - Springer
Urban floods are more concerned in recent days due to their substantial effect in loss of
human lives and properties. Due to climate change, urban floods are frequently observed in …
human lives and properties. Due to climate change, urban floods are frequently observed in …
Low-frequency Ultra-wideband Synthetic Aperture Radar Foliage-concealed Target Change Detection Strategy Based on Image Stacks
H Xie, S Yi, J He, Y Zhang, Z Lu… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Low-frequency ultrawideband synthetic aperture radar (UWB SAR) has high-resolution
imaging and foliage-penetrating ability, which can detect the foliage-concealed target …
imaging and foliage-penetrating ability, which can detect the foliage-concealed target …
Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA
Wavelength-resolution (WR) synthetic aperture radar (SAR) change detection (CD) has
been used to detect concealed targets in forestry areas. However, most proposed methods …
been used to detect concealed targets in forestry areas. However, most proposed methods …