This edited book presents an array of approaches on how human factors theory and research addresses the challenges associated with combat identification. Special emphasis is placed on reducing human error that leads to fratricide, which is the unintentional death or injury of friendly personnel by friendly weapons during an enemy engagement. Although fratricide has been a concern since humans first engaged in combat operations, it gained prominence during the Persian Gulf War. To reduce fratricide, advances in technological approaches to enhance combat identification (e.g., Blue Force Tracker) should be coupled with the application of human factors principles to reduce human error. The book brings together a diverse group of authors from academic and military researchers to government contractors and commercial developers to provide a single volume with broad appeal. Human Factors Issues in Combat Identification is intended for the larger human factors community within academia, the military and other organizations that work with the military such as government contractors and commercial developers as well as others interested in combat identification issues including military personnel and policy makers.

Radar Automatic Target Recognition (ATR) and NonCooperative Target Recognition (NCTR) captures material presented by leading international experts at a NATO lecture series and explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge, although steady progress has been made over the past couple of decades. This book explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. Topics include: the problem as applied to the ground, air and maritime domains; impact of image quality on the overall target recognition performance; performance of different approaches to the classifier algorithm; improvement in performance to be gained when a target can be viewed from more than one perspective; ways in which natural systems perform target recognition; impact of compressive sensing; advances in change detection, including coherent change detection; and challenges and directions for future research.

This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.

Contains the unclassified papers presented at the Symposium. Novel solutions to the Non-Cooperative Target Identification (NCTI) Problem, using radar are proposed. The papers are presented under the following headings: System requirements -- Target characterisation -- Radar measurements and feature extraction -- Target classification -- Scattering techniques, target modelling and validation.