書誌事項
- タイトル別名
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- Ground Truth Data Collection from the Land Use / Land Cover Classification Data Prepared by the Existing Project
- キソン ノ プロジェクト ニ ヨル トチ リヨウ トチ ヒフク ブンルイ データ カラノ グランド トゥルース データ ノ チュウシュツ
この論文をさがす
抄録
In supervised classification of land cover, ground truth data are used as training data for classification, or for post-classification validation of data. In classifying a large area, it is difficult to collect enough ground truth data. This study proposed a method of collecting ground truth data using both existing land cover data and existing land use data. By combining these two types of data, more reliable regions can be extracted as ground truth data. Using ground truth data collected by this method in China, a larger region was classified as a trial. The classification accuracy was 81% when the results were evaluated using the ground truth data. For the practical use, combining the ground truth data collected by the proposed method with those collected by the other method is recommended to enrich ground truth data inventories.
収録刊行物
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- 地図
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地図 45 (4), 12-21, 2007
日本地図学会
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詳細情報 詳細情報について
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- CRID
- 1390001204491022976
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- NII論文ID
- 10021086099
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- NII書誌ID
- AN00142024
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- ISSN
- 2185646X
- 00094897
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- NDL書誌ID
- 9379742
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可