文献
J-GLOBAL ID:202102292018594406
整理番号:21A2568622
リモートセンシングにおける特徴抽出のための深層学習:空中シーン分類の事例研究【JST・京大機械翻訳】
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
著者 (9件):
Petrovska Biserka
(Ministry of Defense of Republic of North Macedonia, 1000 Skopje, North Macedonia)
,
Zdravevski Eftim
(Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, North Macedonia)
,
Lameski Petre
(Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, 1000 Skopje, North Macedonia)
,
Corizzo Roberto
(Department of Computer Science, University of Bari Aldo Moro, 70125 Bari, Italy)
,
Corizzo Roberto
(Department of Computer Science, American University, Washington, DC 20016, USA)
,
Stajduhar Ivan
(Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia)
,
Stajduhar Ivan
(Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia)
,
Lerga Jonatan
(Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia)
,
Lerga Jonatan
(Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
20
号:
14
ページ:
3906
発行年:
2020年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)