S Richard Sims

Title: Innovations of S Richard Sims in Automatic Target Recognition Systems

Introduction

S Richard Sims is a notable inventor based in Huntsville, Alabama, who has made significant contributions to the field of automatic target recognition systems. With a total of three patents to his name, his work focuses on enhancing the accuracy and efficiency of target detection and classification.

Latest Patents

One of his latest patents is the "Synthetic Discriminant Function Automatic Target Recognition System." This innovative system combines active LADAR data with passive infrared imagery to recognize and classify target objects. By analyzing the amplitude of the reflected return signal, the system provides a range profile of the target object. The process involves detecting and filtering live target scene imagery in passive infrared, which is then complex multiplied with a pre-existing synthetic discriminant function. This results in a two-dimensional cross-correlated surface that enhances target location and classification accuracy. Another significant patent is the "Automatic Target Recognition System," which filters potential target scenery image data and utilizes synthetic discriminant functions to produce a cross-correlated surface for spatial coordinate determination.

Career Highlights

S Richard Sims works for the US Government as represented by the Secretary of the Army. His role involves developing advanced technologies that improve military capabilities in target recognition and classification.

Collaborations

Throughout his career, Sims has collaborated with notable colleagues, including William C Pittman and Thomas W Branch. Their combined expertise has contributed to the advancement of automatic target recognition technologies.

Conclusion

S Richard Sims has made remarkable strides in the field of automatic target recognition systems through his innovative patents and collaborations. His work continues to influence advancements in military technology and target detection methodologies.