• Non ci sono risultati.

Part II, Vol. 47, n° 6, June 1999, pp. 1502-1517.

N/A
N/A
Protected

Academic year: 2021

Condividi "Part II, Vol. 47, n° 6, June 1999, pp. 1502-1517. "

Copied!
6
0
0

Testo completo

(1)

B IBLIOGRAFIA

[Abr98] Abramovich Y. I., Gray D. A., Gorokhov A. Y, Spencer N. K.

“Positive-Definite Toeplitz Completion in DOA estimation for nonuniform Linear Antenna Arrays”. IEEE Transactions on signal processing. Part I September 1998, Vol 46, n° 9, pp. 2458-2471 &

Part II, Vol. 47, n° 6, June 1999, pp. 1502-1517.

[Abr99] Abramovich Y. I., Spencer N. K., Gorokhov A. Y. “Resolving Manifold ambiguities in Direction of Arrival Estimation for Nonuniform Linear Antenna Arrays”. IEEE Transactions on signal processing. Vol. 47, n° 10, October 1999, pp. 2629-2643.

[Abr00] Abramovich Y. I., Spencer N. K., Gorokhov A. Y. “DOA Estimation for Noninteger Linear Antenna Arrays with More Uncorrelated Sources than Sensors”. IEEE Transaction on Signal processing. Vol.

48, n° 4, April 2000, pp. 943-955.

[Abr00/2] Abramovich Y. I., Gaitsgory V. C., Spencer N. K. “Stability of manifold ambiguity-resolution in DOA estimation with nonuniform Linear Antenna Arrays”. Processing ICASSP. Vol. 5, pp. 3117-3120, Istanbul-Turkey 2000.

[Abr00/3] Abramovich Y. I., Spencer N. K. “Detection-Estimation of More uncorrelated Sources than Sensors in Noninteger Sparse Linear Antenna Arrays”. IEEE transactions on signal processing. n° 7, July 2000.

[Abr01] Abramovich Y. I., Spencer N. K., Gorokhov A. Y. “Detection- Estimation of more uncorrelated Gaussian Sources Than Sensors in Non uniform Linear Antenna Arrays”. IEEE transactions on signal processing. Part I Vol. 49, n° 5, May 2001, pp. 959-971, & Part II Vol. 51, n° 6, June 2003, pp. 1492-1507.

[Aka74] Akaike H., “A new look at the statistical model identifications”, IEEE Trans. Automat. Control AC-19 (December 1974), pp. 716- 723.

[Ask96] Askine J., Smith G. 1996. “Forest InSAR Decorrelation and

Classification Propeties” PROCESSING FRINGE. Vol. 96, pp. 95-

103.

(2)

[Ath01] Athley F., “Optimization of element position for Direction finding with Sparse Arrays”. IEEE transactions on signal processing. Vol.

49, n° 2, February 2001, pp. 516-519.

[Bai85] Bai Z. D., Krishnaiah P. R., Zhao C., “On Rates of Covergence of Fast Detection Criteria in Signal Processing with White Noise”, Centre for Multivariate Analysis, University Pittsburgh, Tech. rep.

84-85, 1985.

[Bur96] Burkhart G. R., Bergen Z., Carande R., “Elevation Correction and Building Extraction from Interferometric SAR Imagery”. IEEE transactions on signal processing. Vol. 44, n° 4, April 1996, pp.

659-661.

[Che01] Chen P., Wicks M. C., Adve R. S., “Development of statistical procedure for detecting the number of signals in a radar measurement”. Proc. Inst. Electran. Eng. Part-F, Vol. 148, n° 4, August 2001, pp. 219-226.

[Fer96] Ferretti A., Monti Guarnirei A., Prati C., Rocca F., “Multi Baseline Interferometric Techniques and Applications”. Proc. FRINGE 96- ESA Workshop, Zurich, Switzerland, pp. 243-252.

[Fis02] Fishler E., Girosmann M., Messer H. “Detection of signal by information theoretic Criteria: General Asymptotic Performance Analysis”. IEEE transactions on signal processing. Vol. 50, n° 5, May 2002, pp. 1027-1036.

[Ger97] Gershman A. B., Bohme “A note of Most favorable Array Geometries for DOA Estimation and Array Interpolation”. IEEE signal processing letters. Vol. 4, n° 8, August 1997, pp. 232-235.

[Gin01] Gini F., Lombardini F., Matteucci P., Verazzani L., “System and Estimation Problems for Multibaseline InSAR Imaging of Multiple Layovered Reflectors”. Proc. IEEE IGARASS 01, Sydney, Australia, pp. 115-117.

[Gin02] Gini F., Lombardini F., Montanari M., “Layover solution in multibaseline SAR interferometry”. IEEE Transactions on Aerospace and Electronics Systems, November 2002.

[Gin03] Gini F., Bordoni F., “On the behaviour of Information Theoretic

Criteria for Model Order Selection of InSAR Signals Corrupted by

Multiplicative Noise”. Signal Processing, 83, pp. 1047-1063, 2003.

(3)

[Gin03/2] Gini F., Lombardini F., Verrazzani L. “On the implementation of ITC method for model order selection in multibaseline InSAR systems”. Proc. of 2003 Tyrrenian International Workshop on Remote Sensing, pp. 379-388, Elba Island, September 2003.

[Ghi94] Ghiglia D. C., Romero L., “Robust Two dimentional weighted and unweighted phase unwrapping that Uses Fast Transforms and Iterative Methods”. J.Opt. Soc. Am., Vol. 11, n° 1,January 1994, pp.

107-117.

[Gri94] Griffiths H. D., Wilkinson A. J., “Improvements in phase unwrapping algorithms for interferometric SAR”, L’Onde Electrique, Vol. 74, n° 3, May-June 1994.

[Gri97] Griffiths H. D., “Synthetic Aperture Radar”. RADAR 97, Edinburgh, 13 Oct. 1997, Tutorial Session 3A.

[Hen98] Henderson F. M. and Lewis A. J., “Manual of Remote Sensing”, Vol. 2, Principles and Applications of Imaging Radar, III Edition, 1998.

[Hil97] Hilands T. W., Thomopoulos S. C. A., “Nonlinear filtering methods for Harmonic retrieval and model order selection in Gaussian and non-Gaussian noise”. IEEE Transactions on Signal Processing. Vol.

45, n° 4, April 1997, pp. 982-996.

[Hom96] Homer J., Longstaff I. D., Callaghan G:, “High resolution 3-D SAR via multi-baseline interferometry”. Proc. of the IEEE Int. Geoscience and Remote Sensing Symposciene, IGARSS 96, pp. 796-798, Lincoln, Nebraska, USA, 1996.

[Li90] Li K. F., Goldstein R. M., “Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars”. IEEE Transaction on Geosci. and Remote Sensing. Vol. 28, n° 1, Jenuary 1990, pp. 88-97.

[Li96] Li J., Stoica P., “An Adaptive Filtering Approach to Spectral Estimation and SAR Imaging”, IEEE Transaction on Signal Processing. Vol. 44, n°. 6, June 1996, pp. 1469-1484.

[Li96/2] Li J., Stoica P. “Efficient mixed-spectrum estimation with applications to target feature extraction”. IEEE Transactions on Signal Procesing. Vol. 44, n°2, February 1996, pp. 281-295.

[Lom96] Lombardo P., Lombardini F., “Optimum Dual-baseline SAR

Interferometry”. IEEE Digital Signal Processing Workshop DSPWS-

96. Loen, Norwai, 1-4 September 1996.

(4)

[Lom97] Lombardo P., Lombardini F., “Multi-baseline SAR Interferometry for Terrain Slope Adaptivity”. IEEE Proc. Nat. Radar Conf. 1997.

pp. 196-201, New York 1997.

[Lom98] Lombardini F.,Griffiths H. D., "Effect of Temporal Decorrelation on 3D SAR Imaging using Multiple Pass Beamforming,". Proc. IEE- EUREL Meeting on Radar and Sonar Signal Processing, Peebles, UK, 6th-8th July 1998, pp.34/1-34/4.

[Lom01] Lombardini F., Gini F., Matteucci P., “Application of array processing techniques to multibaseline InSAR for layover solution”, Proc. of 2001 IEEE Radar Conference, PP.210-215, Atlanta, GA, May 2001.

[Lom02] Lombardini F., Montanari M., Gini F., “Reflectivity Estimation for Multibaseline Interferometric Radar Imaging of Multiple Extended Sources”. IEEE Transactions on Signal Processing, May 2002.

[Lom03] Lombardini F., Reigber A., “Adoptive Spectral Estimation for Multibaseline SAR Tomography with Airborn L-band Data”, Proc.

IEEE IGARSS 03, Toulose, France.

[Lom03/2] Lombardini F., Montanari M., Gini F., “Reflectivity Estimation for Multibaseline Interferometric Radar Imaging of Layover Extended Sources”. IEEE Transactions on Signal Processing. Vol.51, n°6, June 2003, pp. 1508-1519.

[Mad95] Madsen S. N., “On Absolute phase Determination Techniques in InSARinterferometrym”. SPIE Conference on Radar Sensor Technology-SPIE-2487, April 1995, pp. 393-401.

[Man98] Manikas A., Proukakis C., “Modeling and estimation of ambiguities in linear arrays”. IEEE Transactions on Signal Processing. Vol. 46, n° 8, August 1998, pp. 2166-2179.

[Mas96] Massonnet D., Vadon H., Rossi M. “Reduction of the Need for Phase Unwrapping in Radar Interferometry”. IEEE Trans. Geosci. and Remoye Sensing. Vol. 34, n° 2, February 1996, pp. 486-497.

[Mat00] Matteucci P., Tesi di Laurea: “Stima delle direzioni di arrivo da sorgenti multiple in presenza di rumore moltiplicativo: applicazione alla interferometria "cross-track"”. Università di Pisa, Aprile 2000.

[Mau40] Mauchley J. W., “Significance test for sphericety of a normal N-

variate distribution”. Ann. Math. Stat.11 (1940), pp. 204-209.

(5)

[Men96] Meng Y., Stoica P., Wong K. M., “Estimation of the Directions of Arrival of Spatially Dispersed Signals in Array Processing”. IEE Proceedings, Part F. Vol. 143, n° 1, pp.1-9, Febraury 1996.

[Mui82] Muirhead R. J., “Aspects of Multivariate Statistical Theory”, Wiley, New York, 1982.

[Nic97] Nickel U. R. O., “ON the Application of Subspace Mehods for Small Sample Size”. AEU Int. J. Electran. Commun, Vol. 51, n° 6, June 1997, pp. 279-289.

[Pia94] Piau P., “Perfomances of the 3D-SAR Imagery”. Proc. IEEE IGARSS ’94, pp. 2267-2271.

[Pro94] Proukakis C., Manikas A. “Study of Ambiguities of Linear Arrays”, in Proc. ICASSP. Vol. 4, Adelaide, Australia, 1994, pp. 549-552.

[Ran80] Raney R. K., “SAR Response to partially coherent Phenomena”.

IEEE transactions Antennas Propagation, Vol. 28, pp. 777-787, 1980.

[Rei00] Reigber A., Moreira A., “First Demostration of Airborn SAR Tomography using Multibaseline L-band Data”. IEEE Trans. on Geosci. and Remote Sensing, Vol. 38, n°5, Sept 2000, pp.2142-2152.

[Rod92] Rodriguez E., Martin J. M., “Theory and Design of Inerferometric Syntehetic Aperture Radars”. IEE Proceedings-F, Vol. 139, n° 2, April 1992, pp. 147-159.

[Roe00] Roessing L., Ender H. G., “Multi-antenna SAR Tomography Using Superresolution Techniques”. Proc. EUSAR’00, Munich, Germany, pp. 55-58.

[She99] She Z., Gray D. A., Bogner R. E., Homer J., “Three-dimensional SAR Imaging via Multiple Pass Processing”. Proc. IEEE IGARSS 99, Hamburg, Germany, pp. 2389-2391.

[Sto97] Stoica P., Moses R. L., “Introduction to Spectral Analysis”, Prentice Hall 1997.

[The92] Therrien C. W., Discrete Random Signal and Statistical Signal Processing, Prentice Hall 1992.

[VTr02] Van Trees H. L., “Optimum array processing”. Part IV of Detection,

estimation and modulation theory. John Wiley & Sons, N.Y., 2002.

(6)

[Wax85] Wax M., Kailath T., “Detection of Signals by Information Theoretic Criteria”. IEEE Trans. on Acoust. Speech Signal Processing. Vol.

33, n° 2, April 1985, pp. 387 392.

[Won90] Wong K. M., Zhang Q. T, Reilly J. P, Yip P. C. “On Information theoretic criteria for Determing the Number of Signals in High Resolutiin Array Processing”. IEEE transactions on Acoustics, speech and signal processing. Vol. 38, n° 11, November 1990, pp.

1959-1971.

[Wu95] Wu H., Wicks M. C., Adve R. S., “Source number estimator using transformed georschgorin radii”. IEEE Transactions on Signal Processing. Vol. 43, n° 6, June 1995, pp. 1325-1333.

[Xia98] Xiao S., Munson D. C., “Spotlight-Mode SAR Imaging of a Three- Dimensional Scene Using Spectral Estimation Techniques”. Proc.

IEEE IGRASS 98, Seattle, WA, pp. 642-644.

[Xu94] Xu W., Chang E. C., Kwoh L. K., Lim H., Heng W. C. A., “Phase- unwrapping of SAR Interferogram with Multi-frequency or Multi- baseline”. Proc. IEEE IGARSS ’94, Pasadena, CA, pp. 730-732.

[Zha86] Zhao L. C., Krishnaiah P. R., Bai Z. D., “On Detection of the Number of Signals in Presence of White Noise”. J. Multivariate Anal., 20, pp. 1-5, 1986.

[Zha95] Zhang Q. T., “Probability of Resolution of the MUSIC Algorithm”.

IEEE Transactions on Signal Processing. Vol. 43, n°.4, April 1995,

pp. 978-987.

Riferimenti

Documenti correlati

1) Camera: Vision sensors in a smartwatch can potentially produce a huge amount of useful data on the person wearing it. However, extraction of high-level features is not possible

In particular, we are able to characterize mean and variance of the local estimator ˆ ad-hoc j (t) during the algorithm evolution (transient analysis) and for any fixed value of

Comparison between the proposed analytical model and experimental results is reported in Figure 6.3 in terms of joint shear stress-strain behavior, joint panel stress field and

della formula denotano entità interne (in particolare "standard"). Indicato con. 'K l'insieme di tutti gli enunciati interni di \ , il sottoinsieme

[r]

C APACITÀ E COMPETENZE RELAZIONALI Vivere e lavorare con altre persone, in ambiente multiculturale, occupando posti in cui la comunicazione è importante e in situazioni in cui

grande perché contiene tutto in sé; della mente afferma che è la più veloceperché corre attraverso tutto; della necessità che è la più forteperché tutto comanda; il tempo

Gini, “Reflectivity Estimation for Multibaseline Interferometric Radar Imaging for Layover Extended Sources,” IEEE Transactions on Geoscience and Remote Sensing, vol..