Cargando…
Deep learning for radar and communications automatic target recognition
"This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a histor...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood, MA
Artech House
[2020]
|
| Colección: | Artech House radar library.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | EBSCO_on1204225395 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 201109s2020 maua ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d YDXIT |d CUV |d OCLCO |d OCLCF |d YDX |d OCLCO |d OCLCQ |d STF |d OCLCO | ||
| 019 | |a 1388676266 |a 1394103586 | ||
| 020 | |a 9781630816391 |q electronic book | ||
| 020 | |a 1630816396 |q electronic book | ||
| 020 | |z 9781630816377 |q hardcover | ||
| 020 | |z 163081637X |q hardcover | ||
| 035 | |a (OCoLC)1204225395 |z (OCoLC)1388676266 |z (OCoLC)1394103586 | ||
| 050 | 4 | |a Q325.5 |b .M357 2020eb | |
| 072 | 0 | |a TEC061000 | |
| 082 | 0 | 4 | |a 006.31 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Majumder, Uttam K. |e author | |
| 245 | 1 | 0 | |a Deep learning for radar and communications automatic target recognition |c Uttam K. Majumder, Erik P. Blasch, David A. Garren |
| 264 | 1 | |a Norwood, MA |b Artech House |c [2020] | |
| 300 | |a 1 online resource (xvii, 294 pages) |b illustrations (black and white) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Artech house radar series | |
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a "This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a history, background primer, and example and performance of ML algorithm (i.e., DL method) on video imagery is provided. Radar data with issues of collection, application, and examples for SAR/HRR data and communication signals analysis is also discussed. Practical considerations of deploying such techniques, including performance evaluation, hardware issues, and the future unresolved issues are presented."--Amazon.com | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on December 01, 2020) | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Synthetic aperture radar. | |
| 650 | 0 | |a Remote sensing. | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Remote Sensing Technology | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Radar à synthèse d'ouverture. | |
| 650 | 6 | |a Télédétection. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a remote sensing. |2 aat | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Remote sensing |2 fast | |
| 650 | 7 | |a Synthetic aperture radar |2 fast | |
| 700 | 1 | |a Garren, David A. |e author | |
| 700 | 1 | |a Blasch, Erik P. |e author | |
| 776 | 0 | 8 | |i Print version: |a Majumder, Uttam K. |t Deep learning algorithms for radar and communications automatic target recognition. |d Norwood, MA : Artech House, [2020] |z 9781630816377 |w (OCoLC)1142512340 |
| 830 | 0 | |a Artech House radar library. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2646702 |z Texto completo |
| 938 | |a EBSCOhost |b EBSC |n 2646702 | ||
| 938 | |a YBP Library Services |b YANK |n 301616963 | ||
| 994 | |a 92 |b IZTAP | ||