{"_buckets": {"deposit": "fb66fd14-a154-41aa-996f-45135a25034f"}, "_deposit": {"id": "5597", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5597"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005597", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "3", "bibliographicPageEnd": "366", "bibliographicPageStart": "359", "bibliographicVolumeNumber": "67", "bibliographic_titles": [{"bibliographic_title": "土木学会論文集D3（土木計画学）", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "太陽光の反射を観測する光学画像には必ず「影」となる領域ができる．リモートセンシング画像解析を行う際，日影の部分での地表情報が得られなかったり，日影の変化が誤差として抽出されたりすることが多くある．そのため，日影部分の輝度値を日向と同じレベルになるように補正し，影のない画像を作成することは，光学画像をより有効に活用することに繋がる．本研究では．光学画像から日影部分を抽出し，その輝度値を補正する手法を提案した．まず，画像からオブジェクトベースの分類手法により，輝度値と近隣関係をもとに影となる部分を抽出した．そして，影の特性を分析し，影の濃さが日影と日向の明度比に影響することから，濃さを考慮した3段階補正式を提案した．抽出された日影部分を，提案された補正式により補正し，影なし画像を作成した．", "subitem_description_language": "ja", "subitem_description_type": "Other"}, {"subitem_description": "\u0026nbsp;Shadows in remote sensing images often result in problems for various applications such as land-cover classification, change detection, and damage detection in disasters. Due to these reasons, it is very useful if the radiance of shadowed areas is corrected to the same radiance as shadow-free areas. In this study, a shadow detection and correction method was proposed. Shadowed areas were detected by object-based classification, using brightness values and a neighbor relationship. Then the detected shadowed areas were corrected by a liner function to produce a shadow-free image. The shadowed areas with different darkness were corrected with different ratios to improve the accuracy of the result. The spectral characteristics of sunlit and shadowed areas in a QuickBird image were studied and then the shadow-free radiance was obtained.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "公益社団法人 土木学会", "subitem_publisher_language": "ja"}, {"subitem_publisher": "Japan Society of Civil Engineers", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.2208/jscejipm.67.359"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "リュウ ウェン", "creatorNameLang": "ja"}, {"creatorName": "LIU Wen", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "山崎 文雄", "creatorNameLang": "ja"}, {"creatorName": "YAMAZAKI Fumio", "creatorNameLang": "en"}]}]}, "item_title": "高解像度衛星画像における日影の抽出と補正法の提案", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "高解像度衛星画像における日影の抽出と補正法の提案", "subitem_title_language": "ja"}, {"subitem_title": "SHADOW DETECTION AND CORRECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5597", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5597", "relation": {}, "relation_version_is_last": true, "title": ["高解像度衛星画像における日影の抽出と補正法の提案"], "weko_shared_id": -1}