SAR Target Detection and Recognition with Intelligent Methods and Its Applications

Dear Colleagues,

Synthetic aperture radar is a type of active aviation and aerospace ground detection system that achieves coherent imaging of targets by transmitting an electromagnetic pulse and receiving backscattered information from the ground surface. It has many advantages, such as its all-weather, all-day, multiband, multipolarization, and strong penetration capability.

For key targets in military and civilian fields, such as aircraft, ships, tanks, satellites, and vehicles, SAR target detection and recognition can extract important information from SAR images, such as location, class, and situation.

Although many researchers have conducted meaningful research on SAR target detection and recognition, there are still many challenges that need to be addressed in this field. In particular, introducing AI algorithms in SAR target detection and recognition can further enhance the level of intelligence in this field and promote the practical application of this technology.

This Special Issue aims to collect advanced methods and applications in SAR target detection and recognition. SAR is a very important remote sensing sensor; with this, we hope this Special Issue can be beneficial in promoting SAR’s application in remote sensing.

We are pleased to invite you to contribute your latest research results to this Special Issue. Original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

1. Target detection and recognition in spaceborne and airborne SAR;
2. SAR target detection and recognition based on incremental learning, reinforcement learning, and transfer learning;
3. SAR target detection and recognition working with few or zero samples;
4. SAR target detection and recognition with large models;
5. Ground, sea, and space target detection and recognition;
6. SAR data simulation, enhancement, and generation;
7. Deep network interpretability for SAR target detection and recognition.

Dr. Zongyong Cui
Dr. Sihang Dang
Dr. Siqian Zhang
Prof. Dr. Zongjie Cao
Guest Editors

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