This paper proposes a synthetic aperture radar (SAR) automatic target recognition (ATR) method by target reconstruction based on attributed scattering centers (ASCs). The extracted ASCs can effectively describe the electromagnetic scattering characteristics of the target, while eliminating the background clutters and noises. Therefore, the ASCs are discriminative features for SAR ATR. The neighbor matching algorithm was used to build the correspondence between the test ASC set and corresponding template ASC set. Afterwards, the selected template ASCs were used to reconstruct the template image, whereas all the test ASCs were used to reconstruct the test image based on the ASC model. A similarity measure was further designed based on the reconstructed images for target recognition. Compared with traditional ASC matching methods, the complex one-to-one correspondence between two ASC sets was avoided. Moreover, all the attributes of the ASCs were utilized during the target reconstruction. Therefore, the proposed method can better exploit the discriminability of ASCs to improve the ATR performance. To evaluate the effectiveness and robustness of the proposed method, extensive experiments on the moving and stationary target acquisition and recognition (MSTAR) dataset were conducted under both the standard operating condition (SOC) and typical extended operating conditions (EOCs).

A 52-year-old man sustained an injury to the right wrist following a fall into a push-up position. Direct-access outpatient physical therapy evaluation was performed 24 hours after the injury. A scaphoid radiograph series, consistent with American College of Radiology guidelines, was obtained based upon examination findings. The radiographs revealed a scapholunate gap of 4 mm and a scapholunate angle of greater than 60°, suggestive of scapholunate dissociation. J Orthop Sports Phys Ther 2018;48(3):225. doi:10.2519/jospt.2018.7774.

A 35-year-old man was referred to physical therapy with nondominant right shoulder pain. Due to chronicity of symptoms and impairment of strength and mobility, the physical therapist ordered radiographs. An orthopaedic consultation was initiated, and the patient was diagnosed with primary synovial chondromatosis. Magnetic resonance imaging was ordered in preparation for surgery. JOSPT Cases 2021;1(1):40–41. doi:10.2519/josptcases.2021.9733