Interpolation using Optimum Nyquist Filter for SAR Interferometry

Cho, B.-L.; Kong, Young-Kyun; Kim, Y.-S.

doi:10.1163/1569393052955134

Cited by 13 publications

(9 citation statements)

References 4 publications

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“…(5) For any pixel (x res , y res ) in the NMS image, calculate its object space coordinates (X res , Y res , Z res ) using the undistorted RFM of the PAN image; (6) Calculate the image coordinates (x ms , y ms ) for the original MS that corresponds to (X res , Y res , Z res ) based on (14). The gray value of (x ms , y ms ) is then obtained by resampling with a raised cosine function [24], which is assigned to (x res , y res ). (7) Repeat steps (5)- (6) to generate the entire NMS image.…”

Section: B Generation Of the Undistorted Rfm And High-accuracy Regismentioning

confidence: 99%

Systematic Error Compensation Based on a Rational Function Model for Ziyuan1-02C

Jiang

Zhang

Chen

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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A rational function model (RFM) can be used directly to convert the relationships between image coordinates and object space coordinates without using any physical imaging parameters (such as satellite position and attitude). Thus, RFMs facilitate versatility and high security during geometric processing of optical satellite imagery. Increasingly, RFMs are offered to users as the basic geolocation model for further geometric processing by imagery vendors. However, imagery vendors might perform inadequate in-orbit geometric calibrations, or the calibrated geometric parameters might not be updated in a timely manner. Thus, the RFMs may suffer from high distortion due mainly to interior errors (such as lens distortion). Using the radiometric correction products of Ziyuan1-02C panchromatic and multispectral sensor as examples, the present study addresses the compensation of systematic errors in RFMs. An undistorted RFM can be generated after calibrating the interior error compensation model once, before high-accuracy registration between the panchromatic imagery and multispectral imagery can be achieved using the undistorted RFM. Experimental evaluations based on the positioning accuracy using a few ground control points (GCPs) with an undistorted RFM matched the accuracy of the GCPs. In addition, our approach greatly improves the accuracy of registration (which surpasses 0.7 panchromatic pixels) between panchromatic and multispectral imagery.Index Terms-Exterior orientation, geometric calibration, interior orientation, rational function model (RFM), sensor model, Ziyuan1-02C (ZY1-02C). 0196-2892

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Section: B Generation Of the Undistorted Rfm And High-accuracy Regismentioning

confidence: 99%

Systematic Error Compensation Based on a Rational Function Model for Ziyuan1-02C

Jiang

Zhang

Chen

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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“…Thus, sinc‐type interpolation is preferred for SAR image registration. We use a raised cosine (RC) interpolation kernel suggested by Cho et al [2005], which is a sinc‐type interpolation but has smaller phase error due to resampling than the plain sinc interpolation. Combining a sinc with a raised cosine function as used in digital communications, one can write the 2‐D version impulse response i ( x , y ) as where sinc( x , y ) means sinc( x )sinc( y ), and L is the kernel size, and α and β are roll‐off factors with values between 0 and 1, and rect() is a 2‐D unit boxcar function whose value is one inside a square of size L and zero elsewhere.…”

Section: Resamplingmentioning

confidence: 99%

Interferogram formation in the presence of complex and large deformation

Yun

Zebker

Segall

et al. 2007

Geophysical Research Letters

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Sierra Negra volcano in Isabela island, Galápagos, erupted from October 22 to October 30 in 2005. During the 8 days of eruption, the center of Sierra Negra's caldera subsided about 5.4 meters. Three hours prior to the onset of the eruption, an earthquake (Mw 5.4) occurred, near the caldera. Because of the large and complex phase gradient due to the huge subsidence and the earthquake, it is difficult to form an interferogram inside the caldera that spans the eruption. The deformation is so large and spatially variable that the approximations used in existing InSAR software (ROI, ROI_PAC, DORIS, GAMMA) cannot properly coregister SAR image pairs spanning the eruption. We have developed here a two‐step algorithm that can form intra‐caldera interferograms from these data. The first step involves a “rubber‐sheeting” SAR image coregistration. In the second step we use range offset estimates to mitigate the steep phase gradient. Using this new algorithm, we retrieve an interferogram with the best coverage to date inside the caldera of Sierra Negra.

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“…The theoretical framework for the evaluation of different kernels was introduced in [1]. Later on, several alternative kernels have been proposed and tested under the same framework [2], [3]. In these investigations, the main interest was to find the kernel that produced the best interpolation accuracy for a given kernel length.…”

Section: Introductionmentioning

confidence: 99%

“…Note again that the focus of this letter is not on the selection of an efficient interpolation kernel but on the actual implementation of the coregistration step. Thus, the proposed method is applicable to all kernels in the study in [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Efficient Interpolation of SAR Images for Coregistration in SAR Interferometry

Selva

López-Sánchez

2007

IEEE Geosci. Remote Sensing Lett.

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An efficient polynomial interpolation method is proposed to reduce the computational burden of the coregistration of synthetic aperture radar images in interferometric processing. The method can be viewed as an application of the Farrow interpolator technique and requires a series of 2-D fast Fourier transforms (FFTs). Mainly, it has two advantages relative to the usual coregistration procedure. First, it does not require to compute or store in memory any kernel sample. Second, it involves less floating-point operations than the conventional coregistration, with a clear advantage if the image needs to be oversampled. The efficiency of the method is based on the fact that the complexity of one 2-D FFT is much smaller than the complexity of one spatial convolution. These advantages are demonstrated by both analyzing the interpolation procedure itself and by defining an efficient code implementation.

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Interpolation using Optimum Nyquist Filter for SAR Interferometry

Cited by 13 publications

References 4 publications

Systematic Error Compensation Based on a Rational Function Model for Ziyuan1-02C

Systematic Error Compensation Based on a Rational Function Model for Ziyuan1-02C

Interferogram formation in the presence of complex and large deformation

Efficient Interpolation of SAR Images for Coregistration in SAR Interferometry

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