Accurate Building Structure Recovery from High Resolution Aerial Imagery

Cord, Matthieu; Jordan, Michel; Cocquerez, Jean-Pierre

doi:10.1006/cviu.2001.0905

Cited by 16 publications

(6 citation statements)

References 48 publications

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“…[10][11][12] Ref. 10 extracts building roof planes from stereoscopic pairs of aerial imagery, then compares the movement of the roof planes to the movement of the ground plane to determine the stuctures' heights.…”

Section: Modeling the Context Of The Imagerymentioning

confidence: 99%

Context aided tracking in aerial video surveillance

Pierce¹,

Vasquez

2008

SPIE Proceedings

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This research investigates the impact of scene context knowledge on tracking vehicles in an urban environment based on video image change detection. The scene context consists of knowledge of the road network and 3D building properties. Airborne sensor position information relative to a 3D model of the context enables calculation of building occlusions of ground locations. From this context, probability of detection maps that include regions of interest and smoothed lines-of-sight are developed that assist the change detection algorithm in reducing false alarms.

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Section: Modeling the Context Of The Imagerymentioning

confidence: 99%

Context aided tracking in aerial video surveillance

Pierce¹,

Vasquez

2008

SPIE Proceedings

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“…The significant improvement in this approach is the detection rate is achieved by running the detection procedure on different views and combining the results. Cord et al [8] focus the problem of automatic extraction and modeling from stereoscopic pairs of high resolution (less than 10cm per ground pixel) aerial images. It is based on Digital Elevation Model (DEM) computation which involves a gradient correlation, contour-adaptive windows with a geodesic weighting, a multi-resolution coarse to fine scheme, and a two-way filtering symmetrical validation.…”

Section: Introductionmentioning

confidence: 99%

Building Extraction from Satellite Images

Bhadauria¹

2013

IOSR-JCE

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“…Multisource datasets have been utilized to maximize synergistic effects including 3D building reconstruction, update and refinement of spatial database, and map revision [3]- [7]. Multisource datasets have been utilized to maximize synergistic effects including 3D building reconstruction, update and refinement of spatial database, and map revision [3]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we focus on efficient 3D building construction that provides for updating 2D maps to 3D maps. Multisource datasets have been utilized to maximize synergistic effects including 3D building reconstruction, update and refinement of spatial database, and map revision [3]- [7]. The number of methods to acquire the 3D spatial data and reconstruct objects has been rapidly increasing in recent years.…”

Section: Introductionmentioning

confidence: 99%

Automatic Building Reconstruction with Satellite Images and Digital Maps

Lee¹,

Yom²,

Shin³

et al. 2011

ETRI J

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This paper introduces an automated method for building height recovery through the integration of high‐resolution satellite images and digital vector maps. A cross‐correlation matching method along the vertical line locus on the Ikonos images was deployed to recover building heights. The rational function models composed of rational polynomial coefficients were utilized to create a stereopair of the epipolar resampled Ikonos images. Building footprints from the digital maps were used for locating the vertical guideline along the building edges. The digital terrain model (DTM) was generated from the contour layer in the digital maps. The terrain height derived from the DTM at each foot of the buildings was used as the starting location for image matching. At a preset incremental value of height along the vertical guidelines derived from vertical line loci, an evaluation process that is based on the cross‐correlation matching of the images was carried out to test if the top of the building has reached where maximum correlation occurs. The accuracy of the reconstructed buildings was evaluated by the comparison with manually digitized 3D building data derived from aerial photographs.

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Accurate Building Structure Recovery from High Resolution Aerial Imagery

Cited by 16 publications

References 48 publications

Context aided tracking in aerial video surveillance

Context aided tracking in aerial video surveillance

Building Extraction from Satellite Images

Automatic Building Reconstruction with Satellite Images and Digital Maps

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