BUILDING DETECTION AND RECONSTRUCTION FROM MID-RESOLUTION AND HIGH-RESOLUTION AERIAL IMAGERY

Citation
N. Paparoditis et al., BUILDING DETECTION AND RECONSTRUCTION FROM MID-RESOLUTION AND HIGH-RESOLUTION AERIAL IMAGERY, Computer vision and image understanding (Print), 72(2), 1998, pp. 122-142
Citations number
50
Categorie Soggetti
Computer Science Software Graphycs Programming","Computer Science Software Graphycs Programming
ISSN journal
10773142
Volume
72
Issue
2
Year of publication
1998
Pages
122 - 142
Database
ISI
SICI code
1077-3142(1998)72:2<122:BDARFM>2.0.ZU;2-S
Abstract
In this paper, we discuss methods for building detection and reconstru ction from aerial imagery. These methods are intended for the analysis of urban and suburban areas and have been applied to images of differ ent resolutions (between 1 m and 10 cm per pixel). Various algorithms for image matching have been investigated, including hierarchical proc essing and new correlation schemes that have interesting properties fo r building recognition and building feature grouping. Cooperative comb ination of 2-D (monocular) and 3-D (stereoscopic) information allows t he complete representation of the observed scene and particularly the detection of man-made raised structures such as buildings, A performan ce evaluation on simulation-based images has been considered in compar ison with the corresponding ground truth reference. Our work illustrat es that mid-resolution methods cannot be directly applied to high-reso lution images. Classical algorithms must be adapted and new techniques have been defined to carry out dense urban area reconstruction. (C) 1 998 Academic Press.