{"_buckets": {"deposit": "459c7dea-0801-4ed0-9545-a3cdca6991cd"}, "_deposit": {"id": "4918", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "4918"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00004918", "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": "162", "bibliographicPageStart": "149", "bibliographicVolumeNumber": "38", "bibliographic_titles": [{"bibliographic_title": "日本リモートセンシング学会誌", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Journal of The Remote Sensing Society of Japan", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "\u003cp\u003eOwing to the remarkable improvements in radar sensors, it is now possible to obtain information regarding a single structure from high-resolution SAR images. In our previous research, we proposed a method for detecting the heights of low-rise buildings automatically using 2D GIS data and a single high-resolution TerraSAR-X intensity image. However, it was difficult to apply this method to high-rise buildings due to their backscattering characteristics. In this study, a new method was developed for estimating the heights of high-rise buildings based on the results from an Interferometric SAR (InSAR) analysis. The potential layover areas were extracted using both amplitude and phase characteristics. First, the proposed method for low-rise buildings was used to extract the layovers from one intensity image. The phase characteristics in the InSAR result were then investigated and used to extract potential layover areas. Finally, heights were estimated based on the layover lengths obtained from both the intensity and phase images. The developed method was tested on two TerraSAR-X image sets of central Tokyo, Japan, in the HighSpot mode. The results were verified by comparison with a digital surface model obtained by stereoscopic photogrammetry. The detected heights were found to be reasonable.\u003c/p\u003e", "subitem_description_language": "ja", "subitem_description_type": "Other"}, {"subitem_description": "\u003cp\u003eOwing to the remarkable improvements in radar sensors, it is now possible to obtain information regarding a single structure from high-resolution SAR images. In our previous research, we proposed a method for detecting the heights of low-rise buildings automatically using 2D GIS data and a single high-resolution TerraSAR-X intensity image. However, it was difficult to apply this method to high-rise buildings due to their backscattering characteristics. In this study, a new method was developed for estimating the heights of high-rise buildings based on the results from an Interferometric SAR (InSAR) analysis. The potential layover areas were extracted using both amplitude and phase characteristics. First, the proposed method for low-rise buildings was used to extract the layovers from one intensity image. The phase characteristics in the InSAR result were then investigated and used to extract potential layover areas. Finally, heights were estimated based on the layover lengths obtained from both the intensity and phase images. The developed method was tested on two TerraSAR-X image sets of central Tokyo, Japan, in the HighSpot mode. The results were verified by comparison with a digital surface model obtained by stereoscopic photogrammetry. The detected heights were found to be reasonable.\u003c/p\u003e", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "一般社団法人 日本リモートセンシング学会", "subitem_publisher_language": "ja"}, {"subitem_publisher": "The Remote Sensing Society of Japan", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.11440/rssj.38.149"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0289-7911", "subitem_source_identifier_type": "ISSN"}]}, "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_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_title": "高解像度SAR画像の強度と位相情報を用いた高層建物の高さ推定", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "高解像度SAR画像の強度と位相情報を用いた高層建物の高さ推定", "subitem_title_language": "ja"}, {"subitem_title": "Height Estimation for High-rise Buildings from Intensity and Phase Information of High-resolution SAR Imagery", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/4918", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "4918", "relation": {}, "relation_version_is_last": true, "title": ["高解像度SAR画像の強度と位相情報を用いた高層建物の高さ推定"], "weko_shared_id": -1}