Automated radar image matching experiment

Leberl, Franz; Maurice, Kelly; Thomas, John K.; Millot, Michel

doi:10.1016/0924-2716(94)90034-5

Cited by 31 publications

(13 citation statements)

References 7 publications

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“…Up until now, two main approaches have been used for the estimation of ground deformation with remotely sensed data: image matching for all types of remotely sensed data (Erten et al, 2009;Evans, 2000;Leberl and Maurice, 1994;Sarti et al, 2006;Strozzi et al, 2002), and interferometric techniques using SAR data (Hanssen, 2001;Bamler and Hartl, 1998). Intensity-based matching approaches define the displacement as the shift that yields the best fit between different images in time and they are not limited by phase stability problems and can be reliably acquired on a regular basis but the object-dependent phase information is not taken into account.…”

Section: Introductionmentioning

confidence: 99%

Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques

Erten

Reigber

Hellwich

2010

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Introductionmentioning

confidence: 99%

Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques

Erten

Reigber

Hellwich

2010

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Compared with the human operators, an automatic correlation method such as a normalized cross-correlation measure, can generate relative measuring deviations of 2 pixels according to [12]. The optimized pyramid image correlation strategy employing a least squares algorithm with a region-growing approach ensures that subpixel correlation can be achieved.…”

Section: B Theoretical Errorsmentioning

confidence: 99%

A weighted least squares solution for space intersection of spaceborne stereo SAR data

Chen¹,

Dowman

2001

IEEE Trans. Geosci. Remote Sensing

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Abstract-The use of stereoscopic SAR images offers an alternative to interferometric SAR for the generation of digital elevation models (DEMs). The stereo radargrammetric method is robust and can generate DEMs of sufficient accuracy to geocode SAR images. Previous work has shown that ground coordinates with accuracy of four times the resolution cell can be obtained from ERS data without using any ground control points (GCPs), where the high accuracy of the orbit and satellite position of the order of meters introduce insignificant errors into the intersection procedure. The orbit data for RADARSAT is not as accurate as that for ERS, and the perpendicular relationship between the resultant velocity vector and the resultant range vector is uncertain in terms of image geometry. Hence, it is necessary to refine the method to allow for possible errors. This paper introduces a weighted space intersection algorithm based on an analysis of the predicted errors. A radargrammetric error model for observation errors is also formulated to predict the accuracy of the algorithm. The revised method can be used without any GCPs, but this can lead to systematic errors due to less accurate orbit data, and it has been found that the use of two GCPs provides a reasonable solution. The method is insensitive to the spatial distribution of GCPs, which is often critical in traditional methods. The error statistics of the results generated from 32 independent check points, distributed through the entire SAR image, approach the predicted errors and give positional accuracy of 38 m in three dimensions.

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“…The first methods developments served the 3D mapping of the surface of planet Venus by processing SAR images acquired by the Magellan Mission (NASA). In (Leberl et al, 1994), the authors compare the quality of several intensity-based matching methods used for the Venus processing. Since then, several approaches have been implemented on higher resolution SAR imagery, principally for determining DEM of mountainous area (e.g., Fayard et al, 2007), canopy heights (e.g., Perko et al, 2011), or DEMs of glacier regions (Toutin et al, 2013).…”

Section: State-of-the-artmentioning

confidence: 99%

Pixel-based approach for building heights determination by SAR radargrammetry

Dubois

Thiele

Hinz

2013

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

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ABSTRACT:Numerous advances have been made recently in photogrammetry, laser scanning, and remote sensing for the creation of 3D city models. More and more cities are interested in getting 3D city models, be it for urban planning purposes or for supporting public utility companies. In areas often affected by natural disaster, rapid updating of the 3D information may also be useful for helping rescue forces. The high resolutions that can be achieved by the new spaceborne SAR sensor generation enables the analysis of city areas at building level and make those sensors attractive for the extraction of 3D information. Moreover, they present the advantage of weather and sunlight independency, which make them more practicable than optical data, in particular for tasks where rapid response is required. Furthermore, their short revisit time and the possibility of multi-sensor constellation enable providing several acquisitions within a few hours. This opens up the floor for new applications, especially radargrammetric applications, which consider acquisitions taken under different incidence angles. In this paper, we present a new approach for determining building heights, relying only on the radargrammetric analysis of building layover. By taking into account same-side acquisitions, we present the workflow of building height determination. Focus is set on some geometric considerations, pixel-based approach for disparity map calculation, and analysis of the building layover signature for different configurations in order to determine building height. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Automated radar image matching experiment

Cited by 31 publications

References 7 publications

Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques

Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques

A weighted least squares solution for space intersection of spaceborne stereo SAR data

Pixel-based approach for building heights determination by SAR radargrammetry

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