衛星画像における非線形モデルと近傍画素フィルタを適用した混合画素推定法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2011/06/01

タイトル(英語): The Mixed Pixels Estimation for the Remotely Sensed Images Using the Nonlinear Model and the Filter of Neighborhood Pixels

著者名: 伊藤　征嗣（広島工業大学 環境学部 地球環境学科），小黒　剛成（広島工業大学 環境学部 地球環境学科）

著者名(英語): Seiji Ito (Department of Global Environment Studies, Faculty of Environmental Studies, Hiroshima Institute of Technology), Yoshinari Oguro (Department of Global Environment Studies, Faculty of Environmental Studies, Hiroshima Institute of Technology)

キーワード: 衛星画像，ミクセル，非線形モデル，近傍画素フィルタ　　Remotely Sensed Image，Mixed Pixel，Nonlinear Model，Filter of Neighborhood Pixels

要約(英語): The several papers reported that the errors in land cover classification have been generated around the edge of categories especially. The mixed pixel that includes the multiple categories is one of the error factors. All remotely sensed images include the mixed pixel, particularly the influence of the mixed pixels in the middle- or low-resolution images is more serious.In this paper the method using the nonlinear mixed pixel model and the filtering of the neighborhood pixels have been proposed. In order to verify the effectiveness of the proposed method, the six simulations have been made; two patterns without the proposed filter are for the linear and for the nonlinear models, and four patterns with the proposed filter are for the proposed nonlinear method.The results of the simulations have been quantitatively evaluated by calculating the correlation coefficients between the simulated results obtained from Landsat-7/ETM+ image and the model answers made by QuickBird-2 images. It was confirmed that the correlation coefficients of the proposed nonlinear model and the proposed filter were improved than that of the other results.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.6 （2011） 特集：圧電材料・デバイス

本誌掲載ページ: 1233-1240 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/131/6/131_6_1233/_article/-char/ja/