I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
De-speckling Convolutional Neural Network and Classificatio..:
, In:
2020 12th International Conference on Advanced Computational Intelligence (ICACI)
,
Zhao, Yapei
;
Song, Qingzeng
;
Wang, Xuechun
.. - p. 194-198 , 2020
Link:
https://doi.org/10.1109/ICACI49185.2020.9177503
RT T1
2020 12th International Conference on Advanced Computational Intelligence (ICACI)
: T1
De-speckling Convolutional Neural Network and Classification Method for SAR Images
UL https://suche.suub.uni-bremen.de/peid=ieee-9177503&Exemplar=1&LAN=DE A1 Zhao, Yapei A1 Song, Qingzeng A1 Wang, Xuechun A1 Zhang, Yijie A1 Jin, Guanghao YR 2020 SN 2573-3311 K1 Noise reduction K1 Synthetic aperture radar K1 TV K1 Speckle K1 Data models K1 Feature extraction K1 Noise level K1 convolutional layers K1 automatically removing speckle K1 denoise K1 classification SP 194 OP 198 LK http://dx.doi.org/https://doi.org/10.1109/ICACI49185.2020.9177503 DO https://doi.org/10.1109/ICACI49185.2020.9177503 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)