Non-Cooperative Target Tracking, Fusion and Control : Algorithms and Advances /
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 c...
| Main Authors: | , , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Series: | Information Fusion and Data Science.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (XIX, 340 pages 142 illustrations, 80 illustrations in color) : online resource. |
| ISBN: | 9783319907161 |
| ISSN: | 2510-1528 |
| DOI: | 10.1007/978-3-319-90716-1 |