写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
オブジェクト指向型土地被覆分類のための領域成長法による画像分割の最適化
臼田 裕一郎田口 仁渡部 展也福井 弘道李 雲慶
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44 巻 (2005) 1 号 p. 36-43

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An objectoriented method has been recognized as superior to a pixel based method in land cover classification using high resolution satellite images (e.g. IKONOS, QuickBird) . Accurate objectoriented land cover classification is premised on precise image segmentation. Many region-growing methods are suggested and applied to improve the image segmentation. However, most of them do not have an objective criterion to decide the segmentation scale. This study inquires an objective and convenient method to optimize the regiongrowing image segmentation. The observation toward process of region-growing has showed the impracticality of using single common threshold over the whole scene. We suggest a method to extract the optimal regions by detecting the earliest stable stage of region-growing in every pixel. The evaluation (comparing the result with conventional regiongrowing method) has pointed out the effectiveness of the method for image segmentation as follow. This method can 1) restrain over-segmentation, 2) extract image objects with low coefficient of variation, 3) eliminate the subjectivity of the operator's work and 4) decrease the work load by its automatic algorithm.

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© 社団法人 日本写真測量学会
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