空撮画像の同質領域判定による九州北部里山林の樹冠抽出に関する研究(平成15年度日本造園学会全国大会 研究発表論文集(21))

朝廣 和夫, 井上 光平, 上原 三知, 重松 敏則, 瀬戸島 政博

研究成果: ジャーナルへの寄稿記事

抄録

This paper attempts to extract data for forest crowns analysis by the determining same color regions method of image processing. For the analysis of crown size aerial photographic RGB images of broad leaved forest, also of Cryptomeria japonica and Chamaecyparis obtuse forest, of a Northern Kyushu Satoyama Rural Forest were utilized. The Image color distribution was used as an image feature. At first, the circle was calculating at every pixel less than the range of the determined standard value (h) of the color. Next, diffuseness information such as shadow areas and overlapping circles were eliminated from images. Remaining dot images were the processing data for the crown. In each of the research plot, verification data of crown width and number was ascertained by observations, and then compared with processed data. As a result, broad leave forest was determined have the best accuracy for extracting crown width at h: 40, and Cryptomeria japonica and Chamaecyparis obtuse forests were h: 15 to 20. However crown numbers were counted at less than 50% of the original images, because of the characteristics of this image processing method.
元の言語Japanese
ページ(範囲)499-502
ページ数4
ジャーナルランドスケープ研究 : 日本造園学会誌 : journal of the Japanese Institute of Landscape Architecture
66
発行部数5
DOI
出版物ステータス出版済み - 3 31 2003

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aerial photograph
image processing
broad-leaved forest
analysis
pixel
method

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@article{fd744e48a8994eb5a17c71096a88b4be,
title = "空撮画像の同質領域判定による九州北部里山林の樹冠抽出に関する研究(平成15年度日本造園学会全国大会 研究発表論文集(21))",
abstract = "This paper attempts to extract data for forest crowns analysis by the determining same color regions method of image processing. For the analysis of crown size aerial photographic RGB images of broad leaved forest, also of Cryptomeria japonica and Chamaecyparis obtuse forest, of a Northern Kyushu Satoyama Rural Forest were utilized. The Image color distribution was used as an image feature. At first, the circle was calculating at every pixel less than the range of the determined standard value (h) of the color. Next, diffuseness information such as shadow areas and overlapping circles were eliminated from images. Remaining dot images were the processing data for the crown. In each of the research plot, verification data of crown width and number was ascertained by observations, and then compared with processed data. As a result, broad leave forest was determined have the best accuracy for extracting crown width at h: 40, and Cryptomeria japonica and Chamaecyparis obtuse forests were h: 15 to 20. However crown numbers were counted at less than 50{\%} of the original images, because of the characteristics of this image processing method.",
author = "和夫 朝廣 and 光平 井上 and 三知 上原 and 敏則 重松 and 政博 瀬戸島",
year = "2003",
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journal = "ランドスケープ研究 : 日本造園学会誌 : journal of the Japanese Institute of Landscape Architecture",
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AU - 朝廣, 和夫

AU - 井上, 光平

AU - 上原, 三知

AU - 重松, 敏則

AU - 瀬戸島, 政博

PY - 2003/3/31

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