Terrain modeling in synthetic aperture radar images using shape-from-shading

A G  Bors; E R  Hancock; R C  Wilson

Terrain modeling in synthetic aperture radar images using shape-from-shading

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firstly, we show how the direction of surface normals is constrained by the geometry of the radar reflectivity cone. Second, we show, how topographic features call be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.

Original language	English
Pages (from-to)	798-801
Number of pages	4
Journal	15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS
Publication status	Published - 2000

Cite this

@article{23878f81b26a4f73adbdc393106af83d,

title = "Terrain modeling in synthetic aperture radar images using shape-from-shading",

abstract = "In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firstly, we show how the direction of surface normals is constrained by the geometry of the radar reflectivity cone. Second, we show, how topographic features call be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.",

author = "Bors, {A G} and Hancock, {E R} and Wilson, {R C}",

year = "2000",

language = "English",

pages = "798--801",

journal = "15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS",

issn = "1051-4651",

publisher = "IEEE",

}

TY - JOUR

T1 - Terrain modeling in synthetic aperture radar images using shape-from-shading

AU - Bors, A G

AU - Hancock, E R

AU - Wilson, R C

PY - 2000

Y1 - 2000

N2 - In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firstly, we show how the direction of surface normals is constrained by the geometry of the radar reflectivity cone. Second, we show, how topographic features call be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.

AB - In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firstly, we show how the direction of surface normals is constrained by the geometry of the radar reflectivity cone. Second, we show, how topographic features call be used as boundary constraints on the recovered surface normals. Finally, the resulting field of surface normals is smoothed using robust statistics.

M3 - Article

SP - 798

EP - 801

JO - 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS

JF - 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS

SN - 1051-4651

ER -