文献
J-GLOBAL ID:201602290304586126
整理番号:16A1064214
ハイパースペクトルアンミキシングのためのスパース性正則化ロバストな非負行列因数分解【Powered by NICT】
Sparsity-Regularized Robust Non-Negative Matrix Factorization for Hyperspectral Unmixing
著者 (3件):
He Wei
(State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China)
,
Zhang Hongyan
(State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China)
,
Zhang Liangpei
(State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, 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:
9
号:
9
ページ:
4267-4279
発行年:
2016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)