{"_buckets": {"deposit": "570350e6-1381-4877-ad72-8cc4f68474d8"}, "_deposit": {"id": "5590", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5590"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005590", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2018", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "I_143", "bibliographicPageStart": "I_132", "bibliographicVolumeNumber": "74", "bibliographic_titles": [{"bibliographic_title": "土木学会論文集 F3(土木情報学)(Web)", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "土木学会論文集 F3(土木情報学)(Web)", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "我が国では，地震や豪雨に伴う斜面変動による土砂災害が多く，人的被害・環境被害が問題となっている．その為，斜面変動の広域分布を把握する為の土砂災害領域のアーカイブ化が公的機関や大学・研究所等によって行われている．この作業は，作業者が目視により，土砂災害発生後に撮影された空中写真から斜面崩壊や土石流等による土砂移動範囲を抽出することが多い．しかし，長時間の緻密な目視作業は作業者への負担が大きい．そこで，本研究では，土砂移動範囲の抽出作業の効率化を目指して，深層学習を利用した土砂移動範囲の自動検出手法を提案するとともに提案手法の有効性を検証した．", "subitem_description_language": "ja", "subitem_description_type": "Other"}, {"subitem_description": "\u0026nbsp;There are many natural disasters caused by earthquakes and heavy rains in Japan, also human injuries and environmental damages have been a big problem. In the present situation, in order to grasp the distribution of landslide, the worker create landslide maps by slope failure and debris flow from aerial photographs took after landslide disaster. However this work requires a detailed visual inspection for a long time which places a heavy burden on workers. Therefore, in order to improve efficiency of creating landslide maps, we took advantage of the method of automatic detection of landslide from aerial photographs by deep learning. In addition, the images to be processed in this research are aerial photographs were targeted for grayscale images which not be archived.", "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/jscejcei.74.I_132"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2185-6591", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "河村圭", "creatorNameLang": "ja"}, {"creatorName": "河村圭", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "中村優志", "creatorNameLang": "ja"}, {"creatorName": "中村優志", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "若月強", "creatorNameLang": "ja"}, {"creatorName": "若月強", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "佐村俊和", "creatorNameLang": "ja"}, {"creatorName": "佐村俊和", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_title": "深層学習を用いた空中写真からの土砂移動範囲自動検出に関する研究", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "深層学習を用いた空中写真からの土砂移動範囲自動検出に関する研究", "subitem_title_language": "ja"}, {"subitem_title": "A STUDY ON THE AUTOMATIC DETECTION OF LANDSLIDE FROM AERIAL PHOTOGRAPHS USING DEEP LEARNING", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5590", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5590", "relation": {}, "relation_version_is_last": true, "title": ["深層学習を用いた空中写真からの土砂移動範囲自動検出に関する研究"], "weko_shared_id": -1}