Non-Cooperative Target Tracking, Fusion and Control

Beschreibung

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 a wide survey of models and algorithmic aspects of non-cooperative target tracking, fusion and control

Features theoretical background for aerospace applications or remote sensing
Provides many illustrative and computational examples

Contains a wide survey of models and algorithmic aspects of non-cooperative target tracking, fusion and control Features theoretical background for aerospace applications or remote sensing Provides many illustrative and computational examples

Autor*in

Zhongliang Jing

Themen in »Non-Cooperative Target Tracking, Fusion and Control«

multi-target tracking visual target tracking multi-target Bayesian filter Multi-focus image fusion oversampled filter banks probabilistic visual tracking pulse coupled neural network control of spacecraft maneuvers remote sensing/photogrammetry

Stimmen zu »Non-Cooperative Target Tracking, Fusion and Control«

Details

Link teilen