Analyzing and mitigating natural disasters can be a challenging task, which is why the field
of computer science, specifically artificial intelligence (AI) is necessary to aid in the …

The scatterings of many targets are aspect dependent, which is called anisotropy. Multi-
angular synthetic aperture radar (SAR) is a suitable means of detecting this kind of …

This paper presents a likelihood ratio test based method of change detection and
classification for synthetic aperture radar (SAR) time series, namely NORmalized Cut on …

Speckle phenomenon in synthetic aperture radar (SAR) images makes their visual and
automatic interpretation a difficult task. To reduce strong fluctuations due to speckle, total …

This paper proposes an automatic unsupervised method for change detection at pixel level
of Landsat-5 TM images based on spectral angle mapper (SAM). In most existing studies …

Image fusion is an effective complementary method to obtain information from multi-source
data. In particular, the fusion of synthetic aperture radar (SAR) and panchromatic images …

对传统遥感图像变化检测方法未充分利用像素上下文信息的问题, 提出一种无需关于像素的概率
分布假设, 基于上下文光谱角映射的无监督图像变化检测方法. 方法避免了在图像分析过程中将 …

SAR images have distinctive characteristics compared to optical images: speckle
phenomenon produces strong fluctuations, and strong scatterers have radar signatures …

The availability of synthetic aperture radar (SAR) data with high spatial resolution offers
great potential for environmental monitoring due to the insensitivity of SAR to atmospheric …

This paper presents a novel method for jointly change detection and image registration over
multitemporal Synthetic Aperture Radar (SAR) images. Image registration is performed …