Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1652-1655 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781538671504, 9781538671498 |
| ISBN (Print) | 9781538671511 |
| Publikationsstatus | Veröffentlicht - 2018 |
| Veranstaltung | 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spanien Dauer: 22 Juli 2018 → 27 Juli 2018 |
Abstract
The automatic extraction of building footprints from remotely sensed images has been used for updating geospatial databases in urban areas [1]. The launch of High Resolution Spaceborne Stereo (HRSS) sensors (e.g. GeoEye, WorldView, QuickBird) started a new era by providing the possibility to obtain stereo images and 3D maps from space [2]. Indeed, building identification, reconstruction, and change detection have been carried out using stereo image matching, as well as 3D edge matching techniques [3,5-6]. As stated in [3], 3D edge matching based on stereo images delivers promising results, but only if the buildings are large enough with respect to the spatial resolution of the data, have a simple rectangular shape, and a good radiometric contrast compared to surrounding objects. As a matter of fact, although 3D edge matching using very high resolution aerial images can reconstruct building footprints in detail [7], using space-borne images the same approach may encounter issues, particularly where building outlines are not clearly detected in both epipolar images. Additionally, although image matching delivers a DSM representing buildings heights, building size and shapes extracted from this DSM are usually overestimated, so that auxiliary information is required.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
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2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 1652-1655 8518252.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A Hybrid Approach for Delineation of Building Footprints From Space-borne Stereo Images
AU - Dini, Gholam Reza
AU - Jacobsen, Karsten
AU - Rottensteiner, Franz
AU - Ravanbakhsh, Mehdi
AU - Gamba, Paolo
AU - Heipke, Christian
N1 - Publisher Copyright: © 2018 IEEE Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - The automatic extraction of building footprints from remotely sensed images has been used for updating geospatial databases in urban areas [1]. The launch of High Resolution Spaceborne Stereo (HRSS) sensors (e.g. GeoEye, WorldView, QuickBird) started a new era by providing the possibility to obtain stereo images and 3D maps from space [2]. Indeed, building identification, reconstruction, and change detection have been carried out using stereo image matching, as well as 3D edge matching techniques [3,5-6]. As stated in [3], 3D edge matching based on stereo images delivers promising results, but only if the buildings are large enough with respect to the spatial resolution of the data, have a simple rectangular shape, and a good radiometric contrast compared to surrounding objects. As a matter of fact, although 3D edge matching using very high resolution aerial images can reconstruct building footprints in detail [7], using space-borne images the same approach may encounter issues, particularly where building outlines are not clearly detected in both epipolar images. Additionally, although image matching delivers a DSM representing buildings heights, building size and shapes extracted from this DSM are usually overestimated, so that auxiliary information is required.
AB - The automatic extraction of building footprints from remotely sensed images has been used for updating geospatial databases in urban areas [1]. The launch of High Resolution Spaceborne Stereo (HRSS) sensors (e.g. GeoEye, WorldView, QuickBird) started a new era by providing the possibility to obtain stereo images and 3D maps from space [2]. Indeed, building identification, reconstruction, and change detection have been carried out using stereo image matching, as well as 3D edge matching techniques [3,5-6]. As stated in [3], 3D edge matching based on stereo images delivers promising results, but only if the buildings are large enough with respect to the spatial resolution of the data, have a simple rectangular shape, and a good radiometric contrast compared to surrounding objects. As a matter of fact, although 3D edge matching using very high resolution aerial images can reconstruct building footprints in detail [7], using space-borne images the same approach may encounter issues, particularly where building outlines are not clearly detected in both epipolar images. Additionally, although image matching delivers a DSM representing buildings heights, building size and shapes extracted from this DSM are usually overestimated, so that auxiliary information is required.
UR - http://www.scopus.com/inward/record.url?scp=85063147811&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2018.8518252
DO - 10.1109/IGARSS.2018.8518252
M3 - Conference contribution
AN - SCOPUS:85063147811
SN - 9781538671511
SP - 1652
EP - 1655
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -