Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …

Benefited from the rapid and sustainable development of synthetic aperture radar (SAR)
sensors, change detection from SAR images has received increasing attentions over the …

This paper presents an iterative change detection (CD) method based on Bayes' theorem for
very high-frequency (VHF) ultra-wideband (UWB) SAR images considering commonly used …

Synthetic aperture radar (SAR) imagery is widely used in Earth observation (EO)
applications such as land-use change monitoring and target detection. For such …

Change vector analysis in posterior probability space (CVAPS) is an effective change
detection (CD) framework that does not require sound radiometric correction and is robust …

由地震引发的群发性大规模地震滑坡是一类非常严重的震后次生灾害, 会造成严重的人员伤亡和
巨大的经济财产损失. 地震发生后迅速准确地识别出这些地震滑坡, 可为国家应急部门评估灾害 …

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 …

Synthetic aperture radar (SAR) data are widely used for remote sensing applications, such
as change detection and environmental monitoring. This paper presents a recent …

This article presents two supervised change detection algorithms (CDAs) based on
convolutional neural networks (CNNs) that use stacks of coregistered wavelength-resolution …

The low-frequency ultrawideband synthetic aperture radar (UWB SAR) has the ability of the
foliage-penetrating and high-resolution imaging, which can detect the foliage-concealed …