Ship detection and classification pose critical challenges in maritime surveillance and
monitoring. On the one hand, they find applications in civilian domains, like fishery …

Semantic segmentation of Polarimetric SAR (PolSAR) images is an important research topic
in remote sensing. Many deep neural network-based semantic segmentation methods have …

Abstract Synthetic Aperture Radar (SAR) target classification methods based on
convolutional neural networks have attracted wide attention recently. Typically, these …

With the advancements in space technology and the development of lightweight synthetic
aperture radar (SAR) satellites by commercial companies, such as ICEYE, Capella Space …

Multifunctional radar (MFR) working mode recognition is a crucial component of analyzing
their behavioral intent, serving as a foundation for determining threat levels and making …

Height estimation has long been a pivotal topic within measurement and remote sensing
disciplines, with monocular height estimation offering wide-ranging data sources and …

The conventional back projection (BP) algorithm is an accurate time-domain algorithm
widely used for multiple-input multiple-output (MIMO) radar imaging, owing to its …

Classification of urban land use and land cover is vital to many applications, and naturally
becomes a popular topic in remote sensing. The finite information carried by unimodal data …

Vortex electromagnetic (EM) wave radar can obtain more accurate rotation parameters for
target classification and recognition. However, the existing rotation parameter extraction …

Infrared images exhibit considerable variations in probability distributions, stemming from
the utilization of distinct infrared sensors and the influence of diverse environmental …