書誌事項
- タイトル別名
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- Quantitative Evaluation of Image Interpolation Methods Supposed to Be Applied to Sub-Pixel Estimation
- サブピクセル スイテイホウ デノ リヨウ オ ソウテイシタ ガゾウ ノ ナイソウ シュホウ ノ テイリョウテキ トクセイ ヒョウカ
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説明
Sub-pixel estimation of the corresponding positions in area-based matching is often conducted to obtain the precise locations of objects using stereo images. Such sub-pixel estimation methods as least squares matching and cross correlation method using sub-pixel shifted images require appropriate interpolation of the gray values of the window corresponding to the template. Since there are few reports on comparison of image interpolation methods in sub-pixel estimation accuracy, we decided to investigate performance of interpolation methods applied to sub-pixel estimation. This paper reports the preparatory experiment conducted in order to evaluate image interpolation methods quantitatively by using 54 diverse images. Three popular methods in remote sensing and digital photogrammetry: bi-linear interpolation (BL), bi-cubic interpolation (BC), and cubic convolution (CC) were investigated. The experiment results demonstrate that the interpolation accuracy of all three methods is correlated to texture measures of the image such as grey level difference vector measures and spatial frequency. Furthermore, the experiment results show that BC and CC can produce better interpolation results than BL, when an image has no noise or smaller noises. On the other hand, BL and BC can produce better interpolation results than CC, when an image has larger noises.
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 46 (6), 25-35, 2007
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390001204077345792
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- NII論文ID
- 130004372377
- 10024353896
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- NII書誌ID
- AN00111450
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- ISSN
- 18839061
- 02855844
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- NDL書誌ID
- 9342803
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可