Recent Trends in Adaptive Detection for Radar and Remote Sensing

In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of signal processing techniques and the proliferation of sophisticated sensor technologies. Among these advancements, adaptive detection algorithms have emerged as key enablers for improving target detection performance in challenging environments characterized by non-stationary noise, clutter, and interference.

This Article Collection aims to bring together cutting-edge research and contemporary reviews on adaptive detection methodologies tailored for radar and remote sensing applications. We welcome original research articles, review papers, and case studies that address recent developments in theory, algorithms, and practical implementations. Of particular interest are contributions focused on:
· Design and analysis of novel adaptive detectors for complex environments
· Data-driven approaches leveraging machine learning, deep learning, and AI
· Robustness and computational efficiency under real-world constraints
· Adaptive detection in multi-sensor and distributed radar networks
· Applications to synthetic aperture radar (SAR), ground-penetrating radar (GPR), LiDAR, hyperspectral imaging, and other remote sensing modalities
· Performance evaluation in heterogeneous and dynamic operational scenarios

This collection seeks to foster an interdisciplinary dialogue, highlighting the synergy between signal processing, machine learning, and the expanding scope of radar/remote sensing technologies. We invite contributions from academic, industrial, and governmental researchers that showcase recent trends and explore future directions in adaptive detection for radar and remote sensing.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Original Research
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• Hypothesis and Theory
• Methods
• Mini Review
• Original Research
• Perspective
• Review

Keywords: adaptive detection, radar, remote sensing, machine learning, signal processing, cognitive radar, SAR, GPR, Interference suppression

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.