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Deep Structural Learning for Fusion in Remote Sensing Applications
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Deep Structural Learning for Fusion in Remote Sensing Applications. |
| 개인저자 | Tran, Kenneth Viet Lam. |
| 단체저자명 | North Carolina State University. |
| 발행사항 | [S.l.]: North Carolina State University., 2022. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
| 형태사항 | 86 p. |
| 기본자료 저록 | Dissertations Abstracts International 84-04B. Dissertation Abstract International |
| ISBN | 9798352653128 |
| 학위논문주기 | Thesis (Ph.D.)--North Carolina State University, 2022. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Advisor: Sakla, Wesam;Wu, Tianfu;Lobaton, Edgar;Chi, Min;Krim, Hamid. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Decomposition. Deep learning. Remote sensing. Wavelet transforms. Satellites. Sensors. Classification. Aerospace engineering. Mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
