In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …

A prompt and overall understanding of building damages following a disaster is critical, as
they are closely related to casualties. As an important active remote sensing technology …

Polarimetric synthetic aperture radar (PolSAR) image classification is an important
application. Advanced deep learning techniques represented by deep convolutional neural …

Ship detection is one of important applications for synthetic aperture radar (SAR). Speckle
effects usually make SAR image understanding difficult and speckle reduction becomes a …

极化合成孔径雷达(SAR) 能够获取目标的全极化信息, 在对地观测, 灾害评估,
侦察监视等民用和军用领域得到广泛应用. 国内主要高校, 中科院, 工业部门和用户单位在该领域 …

The satellite remote-sensing-based damage-mapping technique has played an
indispensable role in rapid disaster response practice, whereas the current disaster …

The accurate and quick derivation of the distribution of damaged building must be
considered essential for the emergency response. With the success of deep learning, there …

Polarimetric coherence, which has the potential to reveal physical properties of scatterers, is
an important source for polarimetric synthetic aperture radar (PolSAR) data investigation …

Microwave remote sensor can work day and night, and is nearly unaffected by weather and
atmospheric conditions. It plays a more and more important role for earth and other planet …

Speckle filtering of synthetic aperture radar (SAR) image is a necessary pre-processing for
many subsequent applications. The challenge lies in how to adaptively select a sufficient …