Chairs: Assoc. Prof. Gang Xu (Southeast University), Prof. Guangcai Sun (Xidian University), Dr. Linqing Luo (Lawrence Berkeley National Laboratory)

Abstract:

The imaging radar, including synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), is one class of significantly important remote sensors, which can effectively work all-weather, all-day and long-distance. At this moment, radar imaging can provide very high-resolution image and multi-dimensional measurements (such as multi-channel, multi-aspect, multi-frequency, multi-polarization, multi-temporal and etc.) in a short period of time. Furthermore, with the recent developments of system design, advanced signal processing and artificial intelligence theory, the radar imaging technology has been emerging significant innovation with intelligent features. For example, the machine learning and deep learning methods have been applied to radar imaging, yielding new paradigms (models, concepts, architecture designs) of intelligent radar systems and processing architectures. Meanwhile, the information extraction and target interpretation using the intelligent technology from the multi-dimensional big data is also a very important issue.

In order to support the development of increasingly sophisticated and intelligent radar imaging technologies, this session focuses on the most recent radar imaging systems, the efficient multi-dimensional radar imaging strategies, most recent radar imaging theories based on intelligent technology, and their innovative applications in a variety of fields. It primarily entails the investigation of the most recent radar imaging mechanisms and imaging theory, as well as the detection, classification, and recognition of targets of interest in radar images, and the capture and mining of image target information.