文献
J-GLOBAL ID:202202289058746670
整理番号:22A0913859
AMSR2からの情報の有無によるSMAP輝度温度分解能強化のためのアルゴリズムの相互比較検討【JST・京大機械翻訳】
An Intercomparison Study of Algorithms for SMAP Brightness Temperature Resolution Enhancement With or Without Information From AMSR2
著者 (7件):
Lu Hanyu
(College of Big Data and Information Engineering, Guizhou University, Guiyang, China)
,
He Qinye
(College of Big Data and Information Engineering, Guizhou University, Guiyang, China)
,
Zhao Tianjie
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Yao Panpan
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Peng Zhiqing
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Lu Tianjian
(College of Big Data and Information Engineering, Guizhou University, Guiyang, China)
,
Lu Haishen
(College of Hydrology and Water Resources, Hohai University, Nanjing, China)
資料名:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
巻:
15
ページ:
2058-2069
発行年:
2022年
JST資料番号:
W2259A
ISSN:
1939-1404
CODEN:
IJSTHZ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)