{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:33:36Z","timestamp":1760240016230,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,2,18]],"date-time":"2019-02-18T00:00:00Z","timestamp":1550448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In synthetic aperture radar (SAR) remote sensing, Differential Tomography (Diff-Tomo) is developing as a powerful crossing of the mature Differential SAR Interferometry and the emerged 3D SAR Tomography. Diff-Tomo produces advanced 4D (3D+Time) SAR imaging capabilities, extensively applied to urban deformation monitoring. More recently, it has been shown that, through Diff-Tomo, identifying temporal spectra of multiple height-distributed decorrelating scatterers, the important decorrelation-robust forest Tomography functionality is possible. To loosen application constraints of the related main experimented full model-based processing, and develop other functionalities, this work presents an adaptive, just semi-parametric, generalized-Capon Diff-Tomo method, first conceived at University of Pisa in 2013, for joint extraction of height and dynamical information of natural distributed (volumetric) scatterers, with its formalization and a series of insights. Particular reference is given to the important functionality of the separation of different decorrelation mechanisms in forest layers. Representative simulated and P-band forest data sample results are also shown. The new Diff-Tomo method is getting a flexible and rich decorrelation-robust Tomography functionality, and is able to profile height-varying temporal decorrelation, for significantly distributed scatterers.<\/jats:p>","DOI":"10.3390\/rs11040412","type":"journal-article","created":{"date-parts":[[2019,2,17]],"date-time":"2019-02-17T22:11:50Z","timestamp":1550441510000},"page":"412","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Generalized-Capon Method for Diff-Tomo SAR Analyses of Decorrelating Scatterers"],"prefix":"10.3390","volume":"11","author":[{"given":"Fabrizio","family":"Lombardini","sequence":"first","affiliation":[{"name":"Department of Information Engineering, University of Pisa, via Caruso 16, 56122 Pisa, Italy"}]},{"given":"Francesco","family":"Cai","sequence":"additional","affiliation":[{"name":"formerly with University of Pisa, now at Leonardo S.p.A., via Einstein 35, 50013 Florence, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,18]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Lombardini, F., Viviani, F., Cai, F., and Dini, F. (2013, January 21\u201326). Forest temporal decorrelation: 3D analyses and processing in the Diff-Tomo framework. Proceedings of the IEEE IGARSS, Melbourne, Australia.","key":"ref_1","DOI":"10.1109\/IGARSS.2013.6721382"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1109\/TGRS.2004.826821","article-title":"An advanced system for the automatic classification of multitemporal SAR images","volume":"42","author":"Bruzzone","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1109\/36.868873","article-title":"First demonstration of airborne SAR tomography using multibaseline L-band data","volume":"38","author":"Reigber","year":"2000","journal-title":"IEEE Trans. Geosci. 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Proceedings of the IEEE IGARSS, Quebec City, QC, Canada.","key":"ref_16","DOI":"10.1109\/IGARSS.2014.6947201"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/4\/412\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:32:49Z","timestamp":1760185969000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/4\/412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,18]]},"references-count":16,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11040412"],"URL":"https:\/\/doi.org\/10.3390\/rs11040412","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,2,18]]}}}