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S. Madsen, "Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, pp. 583--588, 1987.

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Estimation of the Mean Radar Reflectivity from a.. - Fjørtoft.. (2001)   (Correct)

....complex radar image, simply by computing the correlation coecients of the complex amplitude Z on any part of the image where the speckle is fully developed and where the mean re ectivity is not so low that the thermal noise becomes dominant. The underlying re ectivity does not need to be constant [5]. It should be noted that CS is constant in slant range images, whereas it varies slightly between near range and far range in ground range images. In the latter case, it is thus preferable to estimate and use several speckle covariance matrices when processing over the full swath. III. ....

S. Nrvang Madsen, \Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, pp. 583-588, 1987.


Optimal Edge Detection and Edge Localization in.. - Fjørtoft.. (1999)   (Correct)

....exact values from the data provider. If CS is unknown, it can be estimated on any part of the SLC image where the speckle is fully developed and where the mean reflectivity is not so low that the thermal noise becomes dominant. The underlying reflectivity does not necessarily need to be constant [8]. However, the correlations are not exactly the same in near range and in far range. This can be taken into account by using several different matrices when processing over the full swath. To produce the matrices CS i , i = 0; 1; 2, we simply rearrange the elements of CS in accordance with the ....

S. Nrvang Madsen, "Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, pp. 583--588, Apr. 1987. FJRTOFT et al.: COMPLEX SAR IMAGES WITH CORRELATED SPECKLE 2281


Comparison of Estimators of the Mean Radar.. - Fjørtoft.. (1999)   (Correct)

....so that the covariance matrix of the signal vector Z is given by [3] CZ = R Delta CS (2) CS represents the covariance due to speckle. It is constant for slant range images and depends only on radar system parameters. If CS is unknown, it can easily be estimated from the complex radar image [4]. ESTIMATORS OF THE MEAN REFLECTIVITY It can easily be shown from (1) and (2) that the ML estimator of the radar reflectivity R is the SWF given by: R = 1 N Z t C Gamma1 S Z (3) The AMI is only a special case of (3) corresponding to uncorrelated speckle, for which CS is the identity ....

S. Nrvang Madsen, "Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. AES , Vol. 23, No. 4, pp. 583--588, 1987.


Optimal Edge Detection in SLC Images with Correlated.. - Fjørtoft.. (1998)   (1 citation)  (Correct)

....c fl IEEE The spatial covariance matrix C0 of the SLC speckle only depends on sensor and SAR processor parameters. If it is unknown, it can easily be estimated on any part of the SLC image where the speckle is fully developed. The underlying reflectivity does not necessarily need to be constant [4]. To produce the matrices C0N i , i = 0; 1; 2, we simply rearrange the terms of C0 in accordance with the corresponding signal vectors. SPATIAL WHITENING FILTER The reflectivities R i are unknown and must be estimated. It can easily be shown that the ML estimator of reflectivity for SLC images ....

S. Nørvang Madsen, "Spectral Properties of homogeneous and nonhomogeneous radar images," IEEE Trans. AES , Vol. 23, No. 4, pp. 583-588, 1987.


Optimal Edge Detection and Localization in Complex SAR.. - Fjørtoft, Lopès.. (1998)   (Correct)

....SAR processor parameters. If it is unknown, it can easily be estimated on any part of the SLC image where the speckle is fully developed and where the mean reflectivity is not so low that the thermal noise becomes significant. The underlying reflectivity does not necessarily need to be constant [3]. To produce the matrices C0N i , i = 0; 1; 2, we simply rearrange the terms of C0 in accordance with the corresponding signal vectors. To appear in Proc. NOBIM 98 1 Oslo, Norway, 18 19 June 1.4. Spatial Whitening Filter The reflectivities R i are unknown and must be estimated. It can easily be ....

S. Nørvang Madsen, "Spectral Properties of homogeneous and nonhomogeneous radar images," IEEE Trans. AES , Vol. 23, No. 4, pp. 583-588, 1987.


Absolute Phase Image Reconstruction: A Stochastic Nonlinear .. - Leitao, Figueiredo (1998)   (2 citations)  (Correct)

No context found.

S. Madsen, "Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. Aerosp. Electron. Syst., vol. AES-23, pp. 583--588, 1987.


Edge Detection and Segmentation of SAR Images in.. - Lopès, Fjørtoft, Ducrot (1999)   (Correct)

No context found.

S. Nrvang Madsen. Spectral properties of homogeneous and nonhomogeneous radar images. IEEE Trans. Aerospace Electronics Systems, 23(4):583--588, 1987.


Optimal edge detection and segmentation of SLC SAR .. - Fjørtoft, Cabada, .. (1998)   (Correct)

No context found.

S. N. Madsen, "Spectral properties of homogeneous and nonhomogeneous radar images," IEEE Trans. Aerospace Electronics Systems 23(4), pp. 583--588, 1987.

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