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JSTARS.2013.2255584.pdf | 3.34 MB | Adobe PDF | 見る/開く |
タイトル: | Urban Density Estimation From Polarimetric SAR Images Based on a POA Correction Method |
著者: | Kajimoto, Muneyoshi Susaki, Junichi https://orcid.org/0000-0003-2648-1298 (unconfirmed) |
著者名の別形: | 須﨑, 純一 |
キーワード: | Four-component decomposition polarimetric synthetic aperture radar polarization orientation angle urban density estimation |
発行日: | Jun-2013 |
出版者: | IEEE |
誌名: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
巻: | 6 |
号: | 3 |
開始ページ: | 1418 |
終了ページ: | 1429 |
抄録: | In this paper, an algorithm for estimating urban density from polarimetric synthetic aperture radar (SAR) images is proposed. Polarization orientation angle (POA) and four power components derived by four-component decomposition are used in the algorithm. In particular, in urban areas, SAR data are generally affected by factors such as the interval between buildings, building height, and building azimuth angle. Here, building azimuth (orientation) angle means the relative azimuth between the wall normal and the radar's ground range direction. The interval between buildings and building height are used for building density calculation such as the building-to-land ratio and the floor area ratio. However, building azimuth angle which depends on satellite orbit has almost no relation with building density. The scattering intensity of microwaves emitted from SAR has a strong dependence on this building azimuth angle. Therefore, the main part of this paper is focused on the correction of this angular effect. The first step in the POA correction method is the extraction of homogeneous-POA city districts. In the second step, each power component's scattering intensity is normalized for all pixels in a particular POA interval separately for different POA types of districts. In the case of Tokyo metropolitan area, Japan, estimated urban density from ALOS/PALSAR data has correlation coefficients of nearly 0.7 with the building-to-land ratio and 0.5 with the floor area ratio on the scale of hundreds of meter. In the areas where strong POA dependence is seen, the improvement of the correlation coefficient runs up to approximately 0.2. |
著作権等: | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
URI: | http://hdl.handle.net/2433/193531 |
DOI(出版社版): | 10.1109/JSTARS.2013.2255584 |
出現コレクション: | 学術雑誌掲載論文等 |
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