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MTD2015 Uppsala abstractbok - Svensk Medicinteknisk

A radar interferometric technique for topographic mapping of surfaces, implemented utilizing a single synthetic aperture radar (SAR) system in a nearly repeating orbit, is discussed. The authors characterize the various sources contributing to the echo correlation statistics, and isolate the term which most closely describes surficial change. Decorrelation in interferometric radar echoes Abstract: A radar interferometric technique for topographic mapping of surfaces, implemented utilizing a single synthetic aperture radar (SAR) system in a nearly repeating orbit, is discussed. A radar interferometric technique for topographic mapping of surfaces promises a high resolution, globally consistent approach to generation of digital elevation models. One implementation approach, that of utilizing a single SAR system in a nearly repeating orbit, is attractive not only for cost and complexity reasons but also in that it permits inference of changes in the surface over the A radar interferometric technique for topographic mapping of surfaces, implemented utilizing a single synthetic aperture radar (SAR) system in a nearly repeating orbit, is discussed. The authors characterize the various sources contributing to the echo correlation statistics, and isolate the term which most closely describes surficial change. Abstract—Temporal and geometrical decorrelation often pre-vents SAR interferometry from being an operational tool for sur-face deformation monitoring and topographic profile reconstruc-tion.

Villasenor, “Decorrelation in interferometric radar echoes,” IEEE Trans. Geosci. Remote Sensing, vol. 30, pp.

REMOTE SENSING OF FORESTS - Remote Sensing laboratory

950 959, Sep 1992. [5] K.P. Papathanassiou and S.R. Cloude, The Effect of Temporal Decorrelation on the Inversion of Forest Parameters from Keyword(s): SAR Processing, geophysical techniques, radiowave interferometry, remote sensing by radar, synthetic aperture radar, Decorrelation, Temporal Decorrelation, topography (Earth), Oregon, United States, backscatter, decorrelation, digital terrain model generation, echo correlation statistics, forested area, global digital terrain map, interferometric radar echoes, radar interferometric Coupling of GPS/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides. Landslides, 12(2):241-257, April 2015.

Decorrelation in interferometric radar echoes

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Polarimetric SAR interferometry . the base of hill B, this radar echo will return before the echoes from the The spatial decorrelation. latter three are determined from a signal produced by an echo state network.

a., villasenor, j. 1992; 30 (5): 950-959 View details for Web of Science ID A1992JZ98400013 Jean-Marie Nicolas, Florence Tupin, in Microwave Remote Sensing of Land Surface, 2016. 3.6.4 Geometric and temporal coherence. SAR interferometry did not wait for the Tandem-X mission to be operational. Indeed, to construct an interferogram, simultaneous acquisition is not required: one can exploit the cycle of a radar satellite to obtain two acquired images in interferometric configuration.
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on Geosci. and Remote Sens., 30(5),. 950- Interferometric synthetic aperture radar (IFSAR, also A. The Effect of Height on the Phase of a Radar Echo and decorrelation of echoes between apertures. av A Wästlund · 2016 — (Interferometric synthetic aperture radar) data med möjlighet till beräkning av en H. A., & Villasenor, J. (1992). Decorrelation in Interferometric Radar.

REDUCING IONOSPHERIC DECORRELATION EFFECTS IN INSAR DATA USING ACCURATE COREGISTRATION Albert C. Chen and Howard A. Zebker Department of Electrical Engineering Stanford University, Stanford, CA 94305-2155 1. INTRODUCTION Interferometric synthetic aperture radar (InSAR) is now routinely used to generate topographic data and Frequency bands in radar remote sensing (example #2) • Radar frequencies are able to penetrate into the ground • Penetration depth are related to the wavelength and the soil humidity • Using C-band SAR and working in arid environment, we can observe the old Nil river (Soudan) • Radar brings a new Eye on geophysical elements Decorrelation in interferometric radar echoes: 등록번호: L0303005013: 저자: Zebker, H.A.; Villasenor, J. 연도: 1992: 권/호: 030/05: 페이지: 950 ~ 959: 키워드 Interferometric radar techniques often necessitate two-dimensional (2-D) phase unwrapping, defined here as the estimation of unambiguous phase data from a 2-D array known only modulo 2π rad. We develop a maximum a posteriori probability (MAP) estimation approach for this problem, and we derive an algorithm that approximately maximizes the conditional probability of its phase-unwrapped Here we use interferometric synthetic aperture radar (SAR) data1,2,3, acquired over the central Amazon by the Space Shuttle imaging radar mission4, to measure subtle water level changes in an area interferometric geometry from the data themselves, and decorrelation of the radar echoes from pass to pass because of rearrangement of scatterers on the surface [Goldstein, RG2004 Farr et al.: SHUTTLE RADAR TOPOGRAPHY MISSION 3of33 RG2004 The technique by which interferometric radar can measure the time-varying sea surface displacement is outlined, and an experiment to test the performance of this technique is described. A high-resolution X-band imaging radar with spatial resolution of 40 cm was deployed from a small pier observing an area approximately 20 m × 20 m.
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John Villasenor's 4 research works with 1,884 citations and 440 reads, including: Decorrelation in Interferometric Radar Echoes Radar Interferometry- I" • Radar Interferometry is a simple extension of the Youngʼs interferometry concept! • Radar has a coherent source much like a laser!

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MTD2015 Uppsala abstractbok - Svensk Medicinteknisk

Two radar echoes will be coherent if each represents nearly the same interaction with a set of scatterers. For imaging radars, coherence implies that the speckle patterns are similar'31141161. Eq. 1 expresses the returned signal corresponding to one pixel in the thimage: A technique to provide interferometry by combining multiple images of the same area is proposed. This technique exploits all the images jointly and performs an optimal spectral shift pre-processing to remove most of the decorrelation for distributed targets.