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Intelligent SAR Target Detection and Recognition

This special issue belongs to the section “Sensing and Imaging“.

Special Issue Information

Dear Colleagues,

Synthetic aperture radar (SAR) is a distinctive discipline for target detection due to its 24-hour all-weather two-dimension high-resolution imaging capabilities. The effective target information obtained by SAR depends on the performance of SAR imaging system as well as the interpretation ability. The former determines the upper limit of information that can be acquired at the sensor terminal, and the latter determines the upper limit of information that can be understood at the intelligence terminal. In recent years, in sharp contrast to the rapid improvement of SAR systems, the level of target detection and recognition is lagging behind. Therefore, studying the intelligent SAR target detection and recognition is of great value and importance.

This special issue collects theoretical and applied contributions on the above topic, addresses the above challenges by researchers in the field of intelligent techniques applied to SAR target detection and recognition, and presents innovative and cutting-edge research results. It aims to provide a platform for potential topics include, but are not limited to:

(1) Target detection and recognition in spaceborne / airborne SAR images

(2) Target detection and recognition in miniSAR / nanoSAR images

(3) SAR target detection and recognition based on edge / cloud computing

(4) Detection and recognition of mobile targets such as ships, aircraft and vehicles

(5) Extraction of fixed facilities such as buildings and bridges

(6) Moving target refocusing and recognition

(7) Integration of intelligent imaging and recognition

Dr. Xiangguang Leng
Dr. Xiangwei Xing
Dr. Yue Cao
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Sensors - ISSN 1424-8220