Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data

Reinartz, Peter; Müller, Rupert; Schwind, Peter; Suri, Sahil; Bamler, Richard

doi:10.1016/j.isprsjprs.2010.10.003

Cited by 62 publications

(42 citation statements)

References 19 publications

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“…The MI is a basic concept from information theory, quantifying the mutual dependence of the two random variables. MI has been previously used in coregistration of medical images [12] and recently used in fusion of optical and SAR images [13], [14]. This paper expands the ideas first presented in [15] which uses the MI to detect regions of change in video surveillance.…”

Section: Ieee Transactions On Geoscience and Remote Sensingmentioning

confidence: 84%

“…following (13). In single-channel SAR imaging mode, i.e., m = 1, p(A 11 , A 22 ) may be rewritten in a simpler closed form, as a bivariate Gamma distribution p(a 1 , a 2 ) with common shape parameter n > 0, scale parameters σ 1 > 0 and σ 2 > 0, and…”

Section: B Joint Density Function Of Temporal Polarimetric Covariancmentioning

confidence: 99%

“…By setting m = 1 in (12) and substituting (10) into (12), the bivariate Gamma distribution (13), shown at the bottom of the next page, is obtained. Such an expression has already been used to detect the changes and to register single-channel temporal SAR images, as stated in [24].…”

Section: B Joint Density Function Of Temporal Polarimetric Covariancmentioning

confidence: 99%

“…The MI is applied using single polarizations (HH, HV, and VV) and combinations of two polarizations VV-HV known as partial PolInSAR data and fully polarimetric data. For single-polarized images, the MI makes use of the bivariate Gamma distribution (13). However, for PolInSAR and partial PolInSAR images, the MI uses the derived pdf (12).…”

Section: B Analysis Of the MI Through Selected Agricultural Fieldsmentioning

confidence: 99%

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A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

Erten¹,

Reigber

Ferro-Famil

et al. 2012

IEEE Trans. Geosci. Remote Sensing

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Abstract-This paper proposes a new method for a measure of coherent similarity between temporal multichannel synthetic aperture radar (SAR) images and its implementation to change detection application. The method is based on mutual information (MI) from information theory. The MI measures the amount of information in common between coherent temporal multichannel SAR acquisitions. In order to develop an algorithm for all kinds of SAR images, such as interferometric SAR, polarimetric-interferometric SAR (PolInSAR), and partial PolIn-SAR, first, the joint density function of temporal multichannel images based on their second-order statistics has been derived. Then, the derived joint density function is used to calculate an analytical expression for the MI between temporal images, which is assumed to be maximal if the temporal images are identical. Although, in this paper, a new coherent similarity measure has analytically been derived for temporal polarimetric SAR images based on complex Wishart process in time, since the mathematical formulation is general, it can equally well be implemented into any kind of multivariate remote sensing data, such as multispectral optical and interferometric images after small continuation. This derived quantity has been implemented for change detection application whose aim is to characterize the temporal behavior of the acquisitions. A comparison between the proposed and the other well-known change detection methods by means of scene characterization is shown, describing the advantages due to the fact that the proposed change detector involves almost every facet of applied change detection.

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Section: Ieee Transactions On Geoscience and Remote Sensingmentioning

confidence: 84%

Section: B Joint Density Function Of Temporal Polarimetric Covariancmentioning

confidence: 99%

Section: B Joint Density Function Of Temporal Polarimetric Covariancmentioning

confidence: 99%

Section: B Analysis Of the MI Through Selected Agricultural Fieldsmentioning

confidence: 99%

See 2 more Smart Citations

A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

Erten¹,

Reigber

Ferro-Famil

et al. 2012

IEEE Trans. Geosci. Remote Sensing

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“…In the papers of Reinartz et al (2011) and Perko et al (2011) methods are investigated which use high resolution TerraSAR-X images for the geometric accuracy improvement of optical images. The improvement of the geometric accuracy of the optical images is achieved by using ground control points (GCPs) selected from the SAR reference image.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Optical and Sar Satellite Image Registration

Merkle

Müller

Schwind

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Over the last years several research studies have shown the high geometric accuracy of high resolution radar satellites like TerraSAR-X. Due to this fact, the impact of high resolution SAR images for image registration has increased. An aim of high accuracy image registration is the improvement of the absolute geometric accuracy of optical images by using SAR images as references. High accuracy image registration is required for different remote sensing applications and is an on-going research topic. The registration of images acquired by different sensor types, like optical and SAR images, is a challenging task. In our work, a novel approach is proposed, which is a combination of the classical feature-based and intensity-based registration approaches. In the first step of the method, spatial features, here roundabouts, are detected in the optical image. In the second step, the detected features are used to generate SAR like roundabout templates. In the third step, the templates are matched with the corresponding parts of the SAR image by using an intensitybased matching process. The proposed method is tested for a pair of TerraSAR-X and QuickBird images and a pair of TerraSAR-X and WorldView-2 images of a suburban area. The results show that the proposed method offers an alternative approach compared to the common optical and SAR images registration methods and it can be used for the geometric accuracy improvement of optical images.

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Mitigation of atmospheric perturbations and solid Earth movements in a TerraSAR-X time-series

Schubert

Jehle

Small

et al. 2011

J Geod

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The TerraSAR-X (TSX) synthetic aperture radar (SAR) marks the recent emergence of a new generation of spaceborne radar sensors that can for the first time lay claim to localization accuracies in the sub-meter range. The TSX platform's extremely high orbital stability and the sensor's hardware timing accuracy combine to enable direct measurements of atmospheric refraction and solid Earth movements. By modeling these effects for individual TSX acquisitions, absolute pixel geolocation accuracy on the order of several centimeters can be achieved without need for even a single tiepoint. A 16-month time series of images was obtained over a fixed test site, making it possible to validate both an atmospheric refraction and a solid Earth tide model, while at the same time establishing the instrument's long-term stability. These related goals were achieved by placing trihedral corner reflectors (CRs) at the test site and estimating their phase centers with centimeter-level accuracy using differential GPS (DGPS). Oriented in pairs toward a given satellite track, the CRs could be seen as bright "points" in the images, providing a geometric reference set. SAR images from the highresolution spotlight (HS) mode were obtained in alternating ascending and descending orbit configurations. The highest-resolution products were selected for their small sample dimensions, as positions can be more precisely determined. Based on the delivered product annotations, the CR image positions were predicted, and these predictions were compared with their measured image positions both before and after compensation for atmospheric refraction and systematic solid Earth deviations. It was possible to show that when the atmospheric distortion and Earth tides are taken into account, the TSX HS products have geolocation accuracies far exceeding the specified requirements. Furthermore, this accuracy was maintained for the duration of the 16-month test period. It could be demonstrated that with a correctly calibrated sensor, and after accounting for atmospheric and tidal effects, tiepoint-free geolocation is possible with TSX with an absolute product accuracy of about 5 cm.

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Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data

Cited by 62 publications

References 19 publications

A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

A New Approach for Optical and Sar Satellite Image Registration

Mitigation of atmospheric perturbations and solid Earth movements in a TerraSAR-X time-series

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