| Description |
1 online resource |
| Series |
Information fusion and data science |
|
Information fusion and data science
|
| Contents |
Background and fundamentals -- Target tracking and fusion -- Visual tracking and fusion -- Spacecraft control for tracking |
| Summary |
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 |
| Analysis |
control of spacecraft maneuvers |
|
multi-target Bayesian filter |
|
multi-target tracking |
|
oversampled filter banks |
|
probabilistic visual tracking |
|
pulse coupled neural network |
|
visual target tracking |
| Subject |
Automatic tracking.
|
|
TECHNOLOGY & ENGINEERING -- Military Science.
|
|
Automatic tracking
|
| Form |
Electronic book
|
| Author |
Pan, Han, author
|
|
Li, Yuankai, author
|
|
Dong, Peng, author
|
| ISBN |
9783319907161 |
|
3319907166 |
|
3319907158 |
|
9783319907154 |
|
