Abstract: Remote sensing images (RSIs) spatiotemporal fusion (STF) make a significant contribution to acquisition of RSIs sequence with simultaneously high temporal and spatial resolution, which ...

Abstract: It is an essential task to accurately diagnose cancer subtypes in computational pathology for personalized cancer treatment. Recent studies have indicated that the combination of multimodal ...

Abstract: This letter analyzes the impact of a phase-locked loop (PLL) on small-signal stability in a system of interconnected grid-forming and grid-following (GFL) converters. It identifies an ...

Abstract: Infrared small target (IRST) detection aims at separating targets from cluttered background. Although many deep learning-based single-frame IRST (SIRST) detection methods have achieved ...

Abstract: Connecting multiple aerial vehicles to a rigid central platform through passive spherical joints holds the potential to construct a fully actuated aerial platform. The integration of ...

Abstract: Spectral imaging systems enable a significant leap forward in identifying and characterizing materials and objects through their unique spectral signatures. This review explores the advances ...

Abstract: This letter reports on an experimental investigation into the continuous adjustment of a single petal-like Laguerre-Gaussian (LG) oscillation mode in an end-pumped Nd:YAG laser utilizing a ...

Abstract: With the continuous development of Global Navigation Satellite System (GNSS) and the abundance of ground-based observation sites, the research and practice of GNSS water vapor retrieval are ...

Abstract: Remote sensing image change detection plays a critical role in applications like video surveillance and geographic information systems. However, existing binary and semantic change detection ...

Abstract: Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction ...