Deep learning for radar and communications automatic target recognition / Uttam K. Majumder, Erik P. Blasch, David A. Garren.
| Author/creator | Majumder, Uttam K. |
| Other author | Garren, David A. |
| Other author | Blasch, Erik P. |
| Format | Electronic |
| Publication Info | Norwood, MA : Artech House, [2020] |
| Description | xvii, 294 pages : illustrations (black and white) ; 26 cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Artech house radar series Artech House radar library. ^A476460 |
| Abstract | "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 |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2021278882 |
| ISBN | 9781630816377 (hardcover) |
| ISBN | 163081637X (hardcover) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |