Speckle reduction in multipolarization, multifrequency SAR imagery

Lee, J.-S.; Grunes, M.R.; Mango, S.

doi:10.1109/36.135815

Cited by 167 publications

(84 citation statements)

References 9 publications

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“…To overcome this problem, a first rough estimate of the coherence is performed by using a constant relatively small window. If the first estimate of the coherence is above a threshold, a small number is also accepted for the pixels identified as stationary; if the first estimate of the coherence is below this threshold and too few points are identified as stationary, the area scan is repeated by using a larger value for the filter parameter that expresses the speckle's strength: [14]. This process is iterated until a minimum number of pixels are reached for this class of coherence.…”

Section: Space Adaptive Estimatementioning

confidence: 99%

“…Besides this biasing, the estimator variance is likewise worsened by the reduction of the freedom degrees. The technique here discussed follows the approach proposed in [13], where the estimation window is adapted over areas of homogeneous backscatter, identified by a refined Lee speckle filtering [14]. We furthermore adapt the window size according to the statistic of the measured coherence [12].…”

Section: 1mentioning

confidence: 99%

See 1 more Smart Citation

Multi-mode ENVISAT ASAR interferometry: techniques and preliminary results

Guarnieri

Guccione

Pasquali

et al. 2003

IEE Proc., Radar Sonar Navig.

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The paper focuses on the interferometric capabilities of the current and future SAR systems, like ENVISAT, RADARSAT-2 etc. We introduce a technique to get interferometric surveys by combining two images, coming from any SAR mode, together with a Digital Elevation Mode. The DEM is exploited during the interferogram generation to provide, at one time, an effective noise removal and the compensation for the topographic-dependent fringes. The final product is a "differential" (topography-compensated) interferogram to be used for monitoring over landslides, upswelling, etc.An innovative technique is also discussed to estimate local coherence maps, to be used for classification and change detection. Such technique exploits windows whose shapes and sizes adapt locally to the target features, to attain at one time the highest resolution and the best statistical confidence. Finally, applications involving the various ENVISAT ASAR modes are discussed.

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Section: Space Adaptive Estimatementioning

confidence: 99%

Section: 1mentioning

confidence: 99%

Multi-mode ENVISAT ASAR interferometry: techniques and preliminary results

Guarnieri

Guccione

Pasquali

et al. 2003

IEE Proc., Radar Sonar Navig.

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show abstract

“…The filtering techniques can result in a single intensity image, as for the polarimetric Whitening Filter by Novak and Burl [2] and the Multilook Polarimetric whitening filter described by Lopès and Séry [3] and Liu et al [4], or in speckle reduced images of the co-and cross-polarized channels, as in the work by Lee et al [5]. Also, the filtering techniques can preserve the entire polarimetric information by estimating the CM.…”

Section: Introductionmentioning

confidence: 99%

Restoration of polarimetric SAR images using simulated annealing

Schou

Skriver²

2001

IEEE Trans. Geosci. Remote Sensing

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Abstract-Filtering synthethic aperture radar (SAR) images ideally results in better estimates of the parameters characterizing the distributed targets in the images while preserving the structures of the nondistributed targets. However, these objectives are normally conflicting, often leading to a filtering approach favoring one of the objectives. An algorithm for estimating the radar cross-section (RCS) for intensity SAR images has previously been proposed in the literature based on Markov random fields and the stochastic optimization method simulated annealing. A new version of the algorithm is presented applicable to multilook polarimetric SAR images, resulting in an estimate of the mean covariance matrix rather than the RCS. Small windows are applied in the filtering, and due to the iterative nature of the approach, reasonable estimates of the polarimetric quantities characterizing the distributed targets are obtained while at the same time preserving most of the structures in the image. The algorithm is evaluated using multilook polarimetric L-band data from the Danish airborne EMISAR system, and the impact of the algorithm on the unsupervised -classification is demonstrated.

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“…But still there is possibility to despeckle further and further to achieve maximum reduction of speckle. Spatial domain filters like lee and map filters [1][2][3][4][5][12][13] gave better despeckling results and are failed in preserving the edge details. Wavelet domain filters [6][7][8][9] have produced better response than spatial filters.…”

Section: Introductionmentioning

confidence: 99%

RISAT-1 Image Despeckling using a Modified Undecimated BM3D Technique

Y¹,

Radhika²

2016

IJIGSP

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Abstract-In synthetic aperture radar (SAR) imaging, the transmitted microwave pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected to get backscattered image. In SAR image processing, a not anticipated noise (speckle noise) is added due to the coherent imaging system, which makes the image analysis troublesome. For better SAR image processing, the noise is to be removed or minimized in the begging stages of pre-processing and texture features are to be effectively maintained. The wavelet based Block Matching 3D (BM3D) method is normally considered as the state of art technique in the area of denoising of images. This method generally depends on up and down sampling conversion. In this paper, it is proposed a denoising technique which is independent on sampling conversion, so that texture features can be maintained, in which the speckle noise is reduced to the maximum extent.

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Speckle reduction in multipolarization, multifrequency SAR imagery

Cited by 167 publications

References 9 publications

Multi-mode ENVISAT ASAR interferometry: techniques and preliminary results

Multi-mode ENVISAT ASAR interferometry: techniques and preliminary results

Restoration of polarimetric SAR images using simulated annealing

RISAT-1 Image Despeckling using a Modified Undecimated BM3D Technique

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