Art
J-GLOBAL ID:202302274492690627   Reference number:23A0861170

SAR Target Recognition Using cGAN-Based SAR-to-Optical Image Translation

cGANベースSAR-光学画像翻訳を用いたSAR目標認識【JST・京大機械翻訳】
Author (8):
Material:
Volume: 14  Issue:Page: 1793  Publication year: 2022 
JST Material Number: U7270A  ISSN: 2072-4292  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
Abstract/Point
Japanese summary of the article(about several hundred characters).
All summary is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
Target recognition in syntheti...
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Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
, 【Automatic Indexing@JST】
JST classification (2):
JST classification
Category name(code) classified by JST.
Pattern recognition  ,  Radar 
Reference (44):
  • Huang, Z.; Pan, Z.; Lei, B. What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs. IEEE Trans. Geosci. Remote Sens. 2020, 58, 2324-2336.
  • Goodman, J.W. Some fundamental properties of speckle. JOSA 1976, 66, 1145-1150.
  • Wang, P.; Zhang, H.; Patel, V.M. SAR Image Despeckling Using a Convolutional Neural Network. IEEE Signal Process. Lett. 2017, 24, 1763-1767.
  • Chierchia, G.; Cozzolino, D.; Poggi, G.; Verdoliva, L. SAR image despeckling through convolutional neural networks. In Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA, 23-28 July 2017.
  • Schmitt, M.; Hughes, L.H.; Zhu, X.X. The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. arXiv 2018, arXiv:1807.01569.
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Terms in the title (4):
Terms in the title
Keywords automatically extracted from the title.

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