C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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Multiple Moving Target Detection and Trajectory Estimation.. - Dias, Marques (2003) (Correct)
....that the number of scatterers per resolution cell is large, none is predominant, the echo amplitudes fn, n 0, 1, N i are mutually independent and have phase uniformly distributed in a 2r interval independent of its amplitude. Under these conditions w(ku, t) has complex Gaussian density [27], and the random complex amplitude fn has mean value and variance E[fn] E[ pn[ E[e j4] 0 (64) 0 E (65) where 6ran is the Kronecker symbol, and rr is the nth scatterer radar cross section. This statistics implies that E[w(ku, t) 0 and that the covariance Cw(kul, ku2) E[w(kul, ....
C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
An Experimental Study Of A New Entropy-Based SAR.. - Morrison, Jr., Munson.. (Correct)
....phase error function, to correct the defocused image. Several autofocus algorithms have been presented in the literature over the past 20 years. Highly regarded among these is the widely utilized Phase Gradient Autofocus (PGA) published by Eichel, Ghiglia, and Jakowatz in 1989 [1,2]. PGA estimates phase differences between columns of Fourier data, and then integrates to produce an estimate of the phase error function [2] A more recent algorithm is Stage By Stage Approaching (SSA) published by Li, Guosui, and Ni in 1999 [3] SSA determines the phase error estimate that ....
....the past 20 years. Highly regarded among these is the widely utilized Phase Gradient Autofocus (PGA) published by Eichel, Ghiglia, and Jakowatz in 1989 [1,2] PGA estimates phase differences between columns of Fourier data, and then integrates to produce an estimate of the phase error function [2]. A more recent algorithm is Stage By Stage Approaching (SSA) published by Li, Guosui, and Ni in 1999 [3] SSA determines the phase error estimate that minimizes the entropy of an image. The algorithm is innovative because it uses a search technique that does not require the computation of a ....
C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, D. C. Ghiglia, P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
Optimal Antenna Spacings in Interferometric SAR - Shu Xiao And (Correct)
....Eq. 19 is minimized when we pick the integer k 2 to minimize the second term, and choose h to zero out the first term. Therefore, the ML estimate of h is h = #1 #2 2# (20) 1 a 2 ( 21) with k 2 calculated as the minimizer of the second term of Eq. 19: k 2 = int[ 1 2 ], 22) where int means the integer part of, and the resulting k 2 makes a 2 ( k 2 ) closest to a 1 # 1 . The MSE of the estimate h can be obtained numerically. We have ] E[ # 1 ) a 1 a 2 ( # 2 2# k 2 ( # 1 , # 2 ) 2 ] 23) 1 E[ a 2 a 1 ( 1 ....
C. V. Jakowatz, D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
Adaptive Target Detection In Radar Imaging - Kim (2001) (Correct)
....formation from raw data, and formation of a test statistic. In this section, we review some issues regarding imaging radars and their image outputs to which we can apply detection algorithms. Further information on the image formation problem for radar can be found in remote sensing books such as [28, 45, 59, 60, 64]. Radiometric sensors are usually divided into two groups according to their modes of operation: passive sensors or radiometers, and active sensors such as imaging or non imaging radar. Most imaging radars used for remote sensing are divided into two groups: the realaperture systems that depend on ....
C. V. Jakowatz, D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Norwell, MA: Kluwer, 1996.
Antenna Radiation Pattern Design for Moving Targets Velocity.. - Marques, Dias (2001) (Correct)
....the parameter # is known. In this case only the noise term in the expression (2) is random. Assuming that the number of static scatterers is large, none is predominant, and that they are uniformly distributed within a wavelength, then the complex noise term is circularly symmetric and Gaussian [8] Therefore density of vector S conditioned to # and fm is p#Sjf m ; ##=N#e# s ;C s #; 3) where e #S = E#S# and C s = E##S , e # s ##S , e # s # H #. In work [9] we show that E#S# = fmA### and C s = PLE p #X#Y diag#j#A## 0 ## i j 2 #,fori = N; N , where P is the ....
C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Moving Targets Detection, Imaging and Full Velocity Vector.. - Marques, Dias (2001) (Correct)
....that the parameter # is known. In this case only the noise term in the expression (9) is random. Assuming that the number of static scatterers is large, none is predominant, and that they are uniformly distributed within a wavelength, then the complex noise term is circular symmetric and Gaussian [8]. Therefore, vector S density conditioned to # and fm is p#Sjf m ; ##=N#m s ;C s # where mS = E#S# and C s = E##S ,m s ##S ,m s # H #. In work [9] we show that E#S# = fmA### and C s = #LE p diag#j#A## 0 ## i j 2 #,fori = N; N,where# is the mean power per unit of aera, ....
C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Moving Targets In Synthetic Aperture Images: A Bayesian Approach - Marques, Dias (2000) (Correct)
....the parameter # is known. In this case only the noise term in the expression (9) is random. Assuming that the number of static scatterers is large, none is predominant, and that they are uniformly distributed within a wavelength, then the complex noise term is circular symmetric and Gaussian [8]. Therefore, vector S density conditioned to # and fm is p#Sjf m ; ##=N#m s ;C s # where mS = E#S# and C s = E##S ,m s ##S ,m s # H #. In work [9] we show that E#S# = fmA### and C s = #LE p diag#j#A## 0 ## i j 2 #,fori = N; N,where# is the mean power per unit of aera, L ....
C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Multisensor Integration for Building Modeling - Andres Huertas Zuwhan (2000) (1 citation) (Correct)
.... the distance to a point is determined by the time taken for light to travel to and return from the point (the actual measurement may be done by measuring phase change) The second, called Interferometric Synthetic Aperture Radar (IFSAR) computes 3 D position by interferometry from two SAR images [7, 8]. Both sensors use active, focused illumination and rely on reflected radiation to reach back to the sensor. However, many surfaces act like mirrors at the wavelengths of the respective sensors and those points are not well imaged. Thus, data from range sensors typically have many holes or are ....
C. Jakowatz, D. Wahl, P. Eichel, D Ghiglia, and P. Thompson, Spot-Light Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic, Boston, 1996.
Computationally Efficient Two-Dimensional Capon Spectrum .. - Jakobsson, Marple, Jr., .. (Correct)
....radio astronomy, biomedical engineering, sonar, and radar, to mention a few. In many of these applications, it is of key importance to obtain computationally ecient high resolution estimates, as for example it is in synthetic aperture radar (SAR) image formation and target feature extraction [7, 8], which are becoming increasingly important in many civilian and military applications [9] Another important application is 2 D nuclear magnetic resonance (NMR) spectral estimation, where both resolution and computational complexity are of uttermost importance [10] Popular approaches include the ....
C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thomson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer, Norwell, M.A., 1996.
Use of IFSAR with Intensity Images for . . . - Huertas, Kim, Nevatia (Correct)
.... by the time taken for light to travel to and return from the point (the actual measurement may be done by measuring phase change) The second, called Interferometric Synthetic Aperture Radar (IFSAR) computes 3 D position by interferometry from two SAR images [Curlander McDonough, 1991; Jakowatz et al. 1996] Both sensors use active, focused illumination and rely on reflected light to reach back to the sensor. However, many surfaces act like mirrors at the wavelengths of the respective sensors and those points are not well imaged. Thus, data from range sensors typically have many holes or are even ....
C. Jakowatz, D. Wahl, P. Eichel, D Ghiglia and P. Thompson, "Spot-Light Mode Synthetic Aperture Radar: A Signal Processing Approach ", Kluwer Academic, Boston, 1996.
Entropy-Based Autofocus For Synthetic Aperture Radar - Morrison, Jr. (2002) Self-citation (Jakowatz) (Correct)
....techniques in the past 25 years. One class of algorithms, inverse filtering techniques, compensates the phase error by approximating image features as ideal point functions, where the surrounding regions in the blurred image are thought to contain copies of the point spread function of the blur [1]. A widely utilized autofocus method derived from this class is phase gradient autofocus (PGA) first published by Eichel et al. in 1989 [2] A more recent class encompasses algorithms that determine the phase error estimate that minimizes a particular cost function. The cost function is selected ....
....two way travel time from the radar plat form to the imaged target must be known with a particular degree of accuracy. The travel time can be expressed as 2R0 , 2. 2) c where R0 is the distance between the radar platform and the center of the scene being imaged, and c is the speed of light [1]. When is not known accurately, a phase error results in the demodulator that corrupts the imaging data. This phase error typically varies with each received radar echo. After interpolation to a Cartesian grid, the result is a phase error function q3e(X) that varies with each column of Fourier ....
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C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, D.C. Ghiglia, and P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
Absolute Phase Estimation with Discontinuities: A.. - Dias, Silva, Leitao (1999) (Correct)
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C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Moving Targets In Synthetic Aperture Images: A Bayesian.. - Paulo Marques Isel-Deec (2000) (Correct)
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C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia, and P. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Autofocus of Multi-band, Shallow-water Synthetic.. - Shear-Averaging.. (2001) (Correct)
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C. V. Jakowatz Jnr., D. E. Wahl, P. H. Eichel, D. C Ghiglia, and P. A. Thompson. Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Kluwer Academic Publishers, Boston, 1996.
Noncoherent Autofocus of Single-Receiver - Broad-Band Synthetic Aperture (2001) (Correct)
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C. V. Jakowatz, Jnr., D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
Test Results from a Multi-Frequency Bathymetric.. - Hayes, Barclay.. (2001) (Correct)
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C. V. Jakowatz, Jnr., D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
Identification of Ground Targets from Sequential.. - Liao, Runkle, Carin (2002) (Correct)
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C.V. Jakowatz et al., Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Press.
A Tomographic Framework For Lidar Imaging - Peter Shargo Nail (Correct)
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Charles V. Jakowatz, Jr., Daniel E. Wahl, et al., SpotlightMode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston, 1996.
Unwrapping Phase Images By Propagating Probabilities Across.. - Ralf Koetter Brendan (2001) (Correct)
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C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, and P. A. Thompson, Spotlight-mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston MA., 1996.
A Factorized Variational Technique for Phase Unwrapping in - Markov Random Fields (Correct)
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C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, and P. A. Thompson, Spotlight-mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston MA., 1996.
Unwrapping Phases By Relaxed Mean Field Inference - Kannan Achan Brendan (Correct)
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C. V. Jakowatz, Jr., D. E. Wahl, P. H. Eichel, and P. A. Thompson, Spotlight-mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Publishers, Boston MA., 1996.
Sensor Management Issues for SAR Target Tracking and Identification - Blasch (1999) (Correct)
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C. V. Jakowatz, Jr, et. al., Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Pub, Boston, MA, 1996.
Fig. 1. State decomposition by dividing the full 360 aspect - Angle Into Set (2001) (Correct)
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C.V. Jakowatz et al., Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Kluwer Academic Press.
Final Technical Report - November Research In (2000) (Correct)
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C. Jakowatz, D. Wahl, P. Eichel, D. Ghiglia and P. Thompson, "Spot-Light Mode Synthetic Aperture Radar: A Signal Processing Approach," Kluwer Academic, Boston, MA, 1996.
Optimal Antenna Spacings in Interferometric SAR - Shu Xiao And (Correct)
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C. V. Jakowatz, D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight Mode Synthetic Aperture Radar: A Signal Processing Approach. Boston: Kluwer Academic Publishers, 1996.
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