Measurement of topography using polarimetric SAR images

Schuler, D.L.; Lee, Jong-Sen; Grandi, G. De

doi:10.1109/36.536542

Cited by 136 publications

(69 citation statements)

References 19 publications

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“…To extract the geometrical characteristics of the ground, four different techniques are implemented: stereoscopy, clinometry (Horn, 1975), interferometry (Massonet & Rabaute, 1993) and polarimetry (Schuler et al, 1996). These are usually combined with SAR systems which have been briefly presented in this paper.…”

Section: State-of-the-artmentioning

confidence: 99%

Radargrammetric SAR Image Processing

Méric¹,

Fayard²,

Pottier³

2009

Geoscience and Remote Sensing

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Section: State-of-the-artmentioning

confidence: 99%

Radargrammetric SAR Image Processing

Méric¹,

Fayard²,

Pottier³

2009

Geoscience and Remote Sensing

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“…The azimuth slope is then estimated from the polarimetric SAR data by calculating the shift in the peak of a polarization signature away from the VV position. They applied this technique, using P-band data from the NASA/JPL AIRSAR system, to an area of the Black Forest in Germany, and report slope estimates that compare favorably with those estimated from maps [1].…”

Section: A Polarimetric Slope Estimationmentioning

confidence: 99%

“…little to no return from the underlying surface is observed, one would not expect this technique to be able to reliably estimate the slopes. We applied this technique to data acquired over an area in the Black Forest in Germany where the biomass is on the order of 200 tons per hectare; the same area originally used by Schuler et al [1] in their study. Our results show that the slope image derived from the P-band data clearly demonstrates the ability to estimate slopes in vegetated areas.…”

Section: A Polarimetric Slope Estimationmentioning

confidence: 99%

“…Schuler et al [1] proposed a method to infer surface slopes in the along-track direction from polarimetric SAR data alone. Their method is based on modeling the effect of the azimuth slope as a rotation of the scattering matrix through an angle equal to the azimuth slope angle.…”

Section: A Polarimetric Slope Estimationmentioning

confidence: 99%

“…Instead, the position of the maximum of the polarization signature is shifted by an equivalent rotation angle ψ , where Here, β is the along-track surface tilt angle, α is the cross-track surface tilt angle, and θ is the angle of incidence for a flat surface. Equation (1) shows that the amount of rotation measured by observing the shift in the polarization signature maximum is influenced by the range tilt, the azimuth tilt, and the incidence angle, and not only by the azimuth tilt as assumed by Schuler et al [1]. Therefore, unless one has some information about the range slopes and incidence angles, this 0-7803-7930-6/$17.00 (C) 2003 IEEE method cannot be used to reliably estimate the topography under vegetation.…”

Section: A Polarimetric Slope Estimationmentioning

confidence: 99%

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The use of polarimetric and interferometric SAR data in floodplain mapping

Zyl¹,

Kim²

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)

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Abstract-Recent advances in polarimetric SAR show promise for augmenting the capability of traditional interferometric SAR. In particular, a polarimetric topography technique provides useful slope information, and polarimetric interferometry may be used to decompose the response into vegetation and ground surface contributions. Here we discuss an integrated approach that utilizes the combined capability of regular (single channel) interferometry, polarimetric interferometry and polarimetric topographic mapping for topographic mapping of flood-prone areas.

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Elevation Modeling from Satellite Data

Toutin¹

2000

Encyclopedia of Analytical Chemistry

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Most geoscientific applications using georeferenced cartographic data need a good knowledge and visualization of the topography of the earth's surface. For example, mapping of geomorphological features is hardly feasible from a single image; three‐dimensional (3‐D) information has to be generated or to be added for a better interpretation of the two‐dimensional (2‐D) data. Since the early emergence of earth observation satellites, researchers have investigated different methods of extracting 3‐D information using satellite data. Apart from a few early stereoimages acquired with hand‐held cameras during the Gemini and Apollo missions, the first experiments to extract 3‐D data using stereoviewing from space began with the Earth Terrain Camera (ETC) flown on board SkyLab in 1973–74. Since these early experiments, various analog or digital sensors in the visible or in the microwave spectrum have been flown to provide researchers and geoscientists with spatial data for extracting and interpreting 3‐D information on the earth's surface. Although the shape‐from‐shading technique can be applied to optical sensor (OPS) images, stereoviewing using space camera or digital scanner images was, and still is, the most common method used by the mapping, photogrammetry and remote sensing communities. However, side‐looking synthetic aperture radar (SAR) data also give the opportunity to extract 3‐D information using image‐processing techniques appropriate to the nature of the data. With SAR data, three main methods have been developed: radargrammetry, clinometry and interferometry. Radargrammetry (similar to the stereoviewing of optical data) uses two images acquired from different viewpoints to generate a stereopair and stereoviewing. Clinometry takes advantage of the SAR shading and shadowing in the image, and interferometry uses mainly the SAR signal data instead of the image. Other methods (polarimetry and altimetry) are also used for 3‐D information extraction. This article reviews the different methods and sensors used to extract absolute or relative elevation and assesses their performance using the results from various research and commercial organizations. It also discusses the respective advantages, difficulties and constraints of the sensors, the methods and the technologies used to take into account the strength of each. It further assesses how they perform as complementary sources and systems for extracting elevation data in an operational context.

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Measurement of topography using polarimetric SAR images

Cited by 136 publications

References 19 publications

Radargrammetric SAR Image Processing

Radargrammetric SAR Image Processing

The use of polarimetric and interferometric SAR data in floodplain mapping

Elevation Modeling from Satellite Data

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