Automatic target recognition:
"This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be und...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Bellingham, Washington, USA
SPIE PRESS
[2018]
|
| Ausgabe: | Third edition |
| Schriftenreihe: | Tutorial texts in optical engineering
volume TT 118 |
| Schlagworte: | |
| Zusammenfassung: | "This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"... |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xxii, 307 Seiten Illustrationen, Diagramme 26 cm |
| ISBN: | 9781510618565 1510618562 |
Internformat
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Datensatz im Suchindex
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| id | DE-604.BV046729555 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:36:16Z |
| indexdate | 2024-07-10T08:52:15Z |
| institution | BVB |
| isbn | 9781510618565 1510618562 |
| language | English |
| lccn | 018005261 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032139629 |
| oclc_num | 1164647938 |
| open_access_boolean | |
| owner | DE-573 |
| owner_facet | DE-573 |
| physical | xxii, 307 Seiten Illustrationen, Diagramme 26 cm |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | SPIE PRESS |
| record_format | marc |
| series | Tutorial texts in optical engineering |
| series2 | Tutorial texts in optical engineering |
| spelling | Schachter, Bruce J. 1946- (DE-588)172394708 aut Automatic target recognition Bruce J. Schachter Third edition Bellingham, Washington, USA SPIE PRESS [2018] © 2018 xxii, 307 Seiten Illustrationen, Diagramme 26 cm txt rdacontent n rdamedia nc rdacarrier Tutorial texts in optical engineering volume TT 118 Literaturangaben "This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"... Radar targets Optical pattern recognition Algorithms Image processing Radar (DE-588)4176765-2 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Zielerkennung (DE-588)4190792-9 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 s Bildverarbeitung (DE-588)4006684-8 s Mustererkennung (DE-588)4040936-3 s DE-604 Radar (DE-588)4176765-2 s Zielerkennung (DE-588)4190792-9 s Erscheint auch als Online-Ausgabe, PDF 978-1-5106-1857-2 1-5106-1857-0 Erscheint auch als Online-Ausgabe, EPUB 978-1-5106-1858-9 1-5106-1858-9 Erscheint auch als Online-Ausgabe (Kindle/Mobi) 978-1-5106-1859-6 1-5106-1859-7 Tutorial texts in optical engineering volume TT 118 (DE-604)BV005345161 118 |
| spellingShingle | Schachter, Bruce J. 1946- Automatic target recognition Tutorial texts in optical engineering Radar targets Optical pattern recognition Algorithms Image processing Radar (DE-588)4176765-2 gnd Bildverarbeitung (DE-588)4006684-8 gnd Mustererkennung (DE-588)4040936-3 gnd Zielerkennung (DE-588)4190792-9 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| subject_GND | (DE-588)4176765-2 (DE-588)4006684-8 (DE-588)4040936-3 (DE-588)4190792-9 (DE-588)4311226-2 |
| title | Automatic target recognition |
| title_auth | Automatic target recognition |
| title_exact_search | Automatic target recognition |
| title_exact_search_txtP | Automatic target recognition |
| title_full | Automatic target recognition Bruce J. Schachter |
| title_fullStr | Automatic target recognition Bruce J. Schachter |
| title_full_unstemmed | Automatic target recognition Bruce J. Schachter |
| title_short | Automatic target recognition |
| title_sort | automatic target recognition |
| topic | Radar targets Optical pattern recognition Algorithms Image processing Radar (DE-588)4176765-2 gnd Bildverarbeitung (DE-588)4006684-8 gnd Mustererkennung (DE-588)4040936-3 gnd Zielerkennung (DE-588)4190792-9 gnd Objektverfolgung (DE-588)4311226-2 gnd |
| topic_facet | Radar targets Optical pattern recognition Algorithms Image processing Radar Bildverarbeitung Mustererkennung Zielerkennung Objektverfolgung |
| volume_link | (DE-604)BV005345161 |
| work_keys_str_mv | AT schachterbrucej automatictargetrecognition |