Evaluation of terrain models for the geocoding and terrain correction, of synthetic aperture radar (SAR) images

Wivell, Charles E.; Steinwand, Daniel R.; Kelly, G.G.; Meyer, David

doi:10.1109/36.193789

Cited by 34 publications

(15 citation statements)

References 5 publications

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“…The correction from the effects of relief requires the use of a digital terrain model for creating ortho-images that conform to mapping requirements. This study does not deal specifically with these effects but we refer the reader to other studies which discuss the necessity and the feasibility of applying corrections relating to these specific effects: Palà and Pons (1995), Proy et al, (1989), Wells and Chisholm (1993), Wivell et al, (1992).…”

Section: The Geometry Of Meis-ii Imagesmentioning

confidence: 97%

The necessity of exterior orientation parameters for the rigorous geometric correction of MEIS‐II airborne digital images

Bannari

Gibson²,

Morin

1997

Remote Sensing Reviews

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Remote sensing is an essential element of the Canada Land Use Monitoring Program. The program sought the replacement, before 1991, of classical aerial photographs by remote sensing imagery (satellite or airborne) as the main source of data for land management (Wilson, 1986). In this sense, the Canada Centre for Remote Sensing (CCRS) has been involved over the last few years in a project for implementing an airborne multi-detector electro-optical imaging system (MEIS-II). The acceptance of airborne scanners has been slow over the years principally because of poor spatial resolution and distortions induced by aircraft motion. For addressing this geometric problem, CCRS has developed a rigorous correction method based on a fundamental photogrammetric principle (colinearity condition) and auxiliary navigation data (attitude, altitude and aircraft speed) measured in relation to time by an inertial navigation system (INS). The method can process images in monoscopy or stereoscopy (two flight lines or more, in which case, the method also uses the coplanarity condition). It uses primarily a low-order polynomial function for correcting auxiliary data based on the method of least squares and a few control points. The results are then used in the geometric correction procedure.In this study, we discuss the effect of geometric distortions caused by aircraft motion and we test two geometric correction methods. The first method is the one developed by CCRS mentioned above. The second method referred to as "classical" is based on a second order polynomial function. Moreover, we examine the effect of control point precision on the reliability of the geometric correction using geodetic points and other points derived from the 1: 20 000 topographical map. The results obtained show a noticeable difference between the two approaches tested. In view of the fact that it takes into consideration parameters related to viewing geometry (exterior orientation parameters), the photogrammetric method, based on the colinearity condition, and related to navigation data, results in precision in the order of one pixel with geodetic control *Corresponding author. 135 Downloaded by [Australian National University] at 23:40 12 June 2016 136 A. BANNARI et al.points. The use of geodetic control points permits the elimination of the planimetric error characteristic of the topographical map. The polynomial method on the other hand provides precision which is in the order of five pixels whatever the type and precision of the control points.

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Section: The Geometry Of Meis-ii Imagesmentioning

confidence: 97%

The necessity of exterior orientation parameters for the rigorous geometric correction of MEIS‐II airborne digital images

Bannari

Gibson²,

Morin

1997

Remote Sensing Reviews

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“…Then the rectified image serves as the reference for the orthorectification of the corresponding slave image. In the SAR image simulation, the RD equations are solved via iteration, and the backscatter coefficients are calculated by Wivell's model (Wivell et al, 1992). Distinctions between the simulated SAR image coordinate and the real one can be reckoned as the result of zooming, translation and rotation, i.e.…”

Section: Data Processing Proceduresmentioning

confidence: 99%

Investigating mountain glacier motion with the method of SAR intensity-tracking: Removal of topographic effects and analysis of the dynamic patterns

Ding

et al. 2014

Earth-Science Reviews

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“…Geometric correction. It is necessary to geo-reference SAR imagery by correcting geometric errors if the extraction or addition of geographically referenced information is desired (Wivell et al 1992). The geometric correction method used in this study was originally developed for SPOT-High Resolution Visible (HRV) (Toutin 1985), and later modified for other data (both orbital and airborne Visible Infra-Red (VIR) and SAR) (Toutin 1995).…”

Section: Radarsat Sar Measurement Of the Transient Snow-linementioning

confidence: 99%

Inferring Glacier Mass Balance Using Radarsat: Results From Peyto Glacier, Canada

Demuth

Pietroniro

1999

Geografiska Annaler A

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Evaluation of terrain models for the geocoding and terrain correction, of synthetic aperture radar (SAR) images

Cited by 34 publications

References 5 publications

The necessity of exterior orientation parameters for the rigorous geometric correction of MEIS‐II airborne digital images

The necessity of exterior orientation parameters for the rigorous geometric correction of MEIS‐II airborne digital images

Investigating mountain glacier motion with the method of SAR intensity-tracking: Removal of topographic effects and analysis of the dynamic patterns

Inferring Glacier Mass Balance Using Radarsat: Results From Peyto Glacier, Canada

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