{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T14:49:52Z","timestamp":1783003792894,"version":"3.54.5"},"reference-count":11,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2012,5,29]],"date-time":"2012-05-29T00:00:00Z","timestamp":1338249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this paper, the three-component power decomposition for polarimetric SAR (PolSAR) data with an adaptive volume scattering model is proposed. The volume scattering model is assumed to be reflection-symmetric but parameterized. For each image pixel, the decomposition first starts with determining the adaptive parameter based on matrix similarity metric. Then, a respective scattering power component is retrieved with the established procedure. It has been shown that the proposed method leads to complete elimination of negative powers as the result of the adaptive volume scattering model. Experiments with the PolSAR data from both the NASA\/JPL (National Aeronautics and Space Administration\/Jet Propulsion Laboratory) Airborne SAR (AIRSAR) and the JAXA (Japan Aerospace Exploration Agency) ALOS-PALSAR also demonstrate that the proposed method not only obtains similar\/better results in vegetated areas as compared to the existing Freeman-Durden decomposition but helps to improve discrimination of the urban regions.<\/jats:p>","DOI":"10.3390\/rs4061559","type":"journal-article","created":{"date-parts":[[2012,5,29]],"date-time":"2012-05-29T11:48:24Z","timestamp":1338292104000},"page":"1559-1572","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling"],"prefix":"10.3390","volume":"4","author":[{"given":"Yi","family":"Cui","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2108, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshio","family":"Yamaguchi","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2108, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang-Eun","family":"Park","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2108, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hirokazu","family":"Kobayashi","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2108, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gulab","family":"Singh","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2108, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2012,5,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1109\/36.673687","article-title":"A three-component scattering model for polarimetric SAR data","volume":"36","author":"Freeman","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1109\/TGRS.2005.852084","article-title":"Four-component scattering model for polarimetric SAR image decomposition","volume":"43","author":"Yamaguchi","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2732","DOI":"10.1109\/TGRS.2010.2041242","article-title":"Three-component model-based decomposition for polarimetric SAR data","volume":"48","author":"An","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1109\/TGRS.2010.2076285","article-title":"Model-based decomposition of polarimetric SAR covariance matrices constrained for nonnegative eigenvalues","volume":"49","author":"Arii","year":"2011","journal-title":"IEEE Trans. Geosci. 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Remote Sens"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2876","DOI":"10.1016\/j.rse.2008.02.005","article-title":"Polarimetric SAR characterization of man-made structures in urban areas using normalized circular-pol correlation coefficients","volume":"112","author":"Ainsworth","year":"2008","journal-title":"Remote. Sens. Environ"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1109\/LGRS.2011.2162935","article-title":"Four-component scattering power decomposition with extended volume scattering model","volume":"9","author":"Sato","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett"},{"key":"ref_10","first-page":"545","article-title":"On the similarity parameter between two targets for the case of multi-look polarimetric SAR","volume":"18","author":"An","year":"2009","journal-title":"Chin. J. Electron"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1109\/TGRS.2007.897929","article-title":"Fitting a two-component scattering model to polarimetric SAR data from forests","volume":"45","author":"Freeman","year":"2007","journal-title":"IEEE Trans. Geosci. 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