文献
J-GLOBAL ID:201802268640387647
整理番号:18A1676976
スペクトル混合モデルとMarkov確率場に基づくハイパースペクトル画像の教師なしベイズ分類【JST・京大機械翻訳】
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field
著者 (6件):
Fang Yuan
(School of Land Science and Technology, China University of Geosciences, Beijing, China)
,
Xu Linlin
(School of Land Science and Technology, China University of Geosciences, Beijing, China)
,
Peng Junhuan
(School of Land Science and Technology, China University of Geosciences, Beijing, China)
,
Yang Honglei
(School of Land Science and Technology, China University of Geosciences, Beijing, China)
,
Wong Alexander
(Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada)
,
Clausi David A.
(Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada)
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:
11
号:
9
ページ:
3325-3337
発行年:
2018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)