Matches in SemOpenAlex for { <https://semopenalex.org/work/W3038597809> ?p ?o ?g. }
- W3038597809 endingPage "2154" @default.
- W3038597809 startingPage "2132" @default.
- W3038597809 abstract "This article addresses the general problem of single-look multi-master SAR tomography. For this purpose, we establish the single-look multi-master data model, analyze its implications for the single and double scatterers, and propose a generic inversion framework. The core of this framework is the nonconvex sparse recovery, for which we develop two algorithms: one extends the conventional nonlinear least squares (NLS) to the single-look multi-master data model and the other is based on bi-convex relaxation and alternating minimization (BiCRAM). We provide two theorems for the objective function of the NLS subproblem, which lead to its analytic solution up to a constant phase angle in the 1-D case. We also report our findings from the experiments on different acceleration techniques for BiCRAM. The proposed algorithms are applied to a real TerraSAR-X data set and validated with the height ground truth made available by an SAR imaging geodesy and simulation framework. This shows empirically that the single-master approach, if applied to a single-look multi-master stack, can be insufficient for layover separation, and the multi-master approach can indeed perform slightly better (despite being computationally more expensive) even in the case of single scatterers. In addition, this article also sheds light on the special case of single-look bistatic SAR tomography, which is relevant for the current and future SAR missions such as TanDEM-X and Tandem-L." @default.
- W3038597809 created "2020-07-10" @default.
- W3038597809 creator A5055461945 @default.
- W3038597809 creator A5075013625 @default.
- W3038597809 creator A5078308635 @default.
- W3038597809 creator A5090588677 @default.
- W3038597809 date "2021-03-01" @default.
- W3038597809 modified "2023-09-24" @default.
- W3038597809 title "Single-Look Multi-Master SAR Tomography: An Introduction" @default.
- W3038597809 cites W1473204425 @default.
- W3038597809 cites W1814500939 @default.
- W3038597809 cites W1948371848 @default.
- W3038597809 cites W1970628409 @default.
- W3038597809 cites W1993752094 @default.
- W3038597809 cites W2014841894 @default.
- W3038597809 cites W2018049315 @default.
- W3038597809 cites W2024305831 @default.
- W3038597809 cites W2025969570 @default.
- W3038597809 cites W2026014071 @default.
- W3038597809 cites W2036839859 @default.
- W3038597809 cites W2043957208 @default.
- W3038597809 cites W2044127760 @default.
- W3038597809 cites W2047029664 @default.
- W3038597809 cites W2048289234 @default.
- W3038597809 cites W2052893527 @default.
- W3038597809 cites W2063522293 @default.
- W3038597809 cites W2065614769 @default.
- W3038597809 cites W2082456873 @default.
- W3038597809 cites W2092663520 @default.
- W3038597809 cites W2093801666 @default.
- W3038597809 cites W2096793484 @default.
- W3038597809 cites W2097762029 @default.
- W3038597809 cites W2098353811 @default.
- W3038597809 cites W2102845306 @default.
- W3038597809 cites W2112183468 @default.
- W3038597809 cites W2113545279 @default.
- W3038597809 cites W2118005898 @default.
- W3038597809 cites W2121773078 @default.
- W3038597809 cites W2123632763 @default.
- W3038597809 cites W2123920486 @default.
- W3038597809 cites W2125596771 @default.
- W3038597809 cites W2136855629 @default.
- W3038597809 cites W2142212280 @default.
- W3038597809 cites W2145250341 @default.
- W3038597809 cites W2145491683 @default.
- W3038597809 cites W2146842127 @default.
- W3038597809 cites W2148610126 @default.
- W3038597809 cites W2150699620 @default.
- W3038597809 cites W2152657318 @default.
- W3038597809 cites W2158898891 @default.
- W3038597809 cites W2167811736 @default.
- W3038597809 cites W2177566449 @default.
- W3038597809 cites W2580442340 @default.
- W3038597809 cites W2753530235 @default.
- W3038597809 cites W2756281548 @default.
- W3038597809 cites W2784194381 @default.
- W3038597809 cites W2785978490 @default.
- W3038597809 cites W2796079430 @default.
- W3038597809 cites W2804262470 @default.
- W3038597809 cites W2902746003 @default.
- W3038597809 cites W2944925717 @default.
- W3038597809 cites W2963380308 @default.
- W3038597809 cites W2972674784 @default.
- W3038597809 cites W3101012758 @default.
- W3038597809 cites W3103439292 @default.
- W3038597809 cites W3105021316 @default.
- W3038597809 cites W4232896595 @default.
- W3038597809 cites W4244393449 @default.
- W3038597809 cites W4250589301 @default.
- W3038597809 cites W4292363360 @default.
- W3038597809 doi "https://doi.org/10.1109/tgrs.2020.3002945" @default.
- W3038597809 hasPublicationYear "2021" @default.
- W3038597809 type Work @default.
- W3038597809 sameAs 3038597809 @default.
- W3038597809 citedByCount "7" @default.
- W3038597809 countsByYear W30385978092021 @default.
- W3038597809 countsByYear W30385978092022 @default.
- W3038597809 countsByYear W30385978092023 @default.
- W3038597809 crossrefType "journal-article" @default.
- W3038597809 hasAuthorship W3038597809A5055461945 @default.
- W3038597809 hasAuthorship W3038597809A5075013625 @default.
- W3038597809 hasAuthorship W3038597809A5078308635 @default.
- W3038597809 hasAuthorship W3038597809A5090588677 @default.
- W3038597809 hasBestOaLocation W30385978091 @default.
- W3038597809 hasConcept C109007969 @default.
- W3038597809 hasConcept C11413529 @default.
- W3038597809 hasConcept C127313418 @default.
- W3038597809 hasConcept C151730666 @default.
- W3038597809 hasConcept C1893757 @default.
- W3038597809 hasConcept C41008148 @default.
- W3038597809 hasConceptScore W3038597809C109007969 @default.
- W3038597809 hasConceptScore W3038597809C11413529 @default.
- W3038597809 hasConceptScore W3038597809C127313418 @default.
- W3038597809 hasConceptScore W3038597809C151730666 @default.
- W3038597809 hasConceptScore W3038597809C1893757 @default.
- W3038597809 hasConceptScore W3038597809C41008148 @default.
- W3038597809 hasIssue "3" @default.
- W3038597809 hasLocation W30385978091 @default.