Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
URBAN BUILDING DETECTION FROM OPTICAL AND INSAR FEATURES EXPLOITING CONTEXT
Date
2010-09-03
Author
Wegner, J. D.
Ok, Ahmet
Thiele, A.
Rottensteiner, F.
Soergel, U.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
139
views
0
downloads
Cite This
We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased if we integrate both InSAR double-bounce lines and 3D lines of stereo data in addition to building hints of a single optical orthophoto. In order to exploit context information, which is crucial for object detection in urban areas, we use a Conditional Random Field approach. It proves to be a valuable method for context-based building detection with multi-sensor features.
Subject Keywords
Conditional Random Fields
,
Remote Sensing
,
Fusion
,
InSAR Data
,
Optical Stereo Data
,
Urban Area
URI
https://hdl.handle.net/11511/55191
Conference Name
ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV)
Collections
Department of Educational Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
Road extraction from satellite images by self supervised classification and perceptual grouping
Şahin, Eda; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2013)
Road network extraction from high resolution satellite imagery is the most frequently utilized technique for updating and correcting geographic information system (GIS) databases, registering multi-temporal images for change detection and automatically aligning spatial datasets. This advance method is widely employed due to the improvements in satellite technology such as development of new sensors for high resolution imagery. To avoid the cost of the human interaction, various automatic and semi-automatic ...
Airplane Localization in Satellite Images by using Visual Attention
Ozyer, Gulsah Tumuklu; Yarman Vural, Fatoş Tunay (2013-04-26)
Automatic target detection from the satellite images is an important tool for various applications including mapping, city planning and defense industry. In this paper, we propose a new two-stage method to identify the airplane regions in the airport images by using visual attention. In the first stage, the interesting patches in the image is aimed to extract from the high resolution images. For that purpose, Itti-Koch visual attention model which is inspired from human vision system is used. In the second ...
Automated building detection from satellite images by using shadow information as an object invariant
Yüksel, Barış; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2012)
Apart from classical pattern recognition techniques applied for automated building detection in satellite images, a robust building detection methodology is proposed, where self-supervision data can be automatically extracted from the image by using shadow and its direction as an invariant for building object. In this methodology; first the vegetation, water and shadow regions are detected from a given satellite image and local directional fuzzy landscapes representing the existence of building are generate...
Analysis of near-field ultra-wideband radar imaging algorithms
Arabacı, Ahmet; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2017)
Recently, near-field ultra-wideband radar imaging algorithms have an important place in short range imaging applications by providing high resolution in both range and cross-range. In this study, the near-field ultra-wideband radar imaging algorithms in the literature such as Holographic Image Reconstruction Algorithm, Range Migration Algorithm, MIMO Based Range Migration Algorithm and MIMO Based Kirchhoff Migration Algorithm have been implemented using MATLAB. The algorithms are applied to modeled transmit...
Fuzzy spatial data cube construction and its use in association rule mining
Işık, Narin; Yazıcı, Adnan; Department of Computer Engineering (2005)
The popularity of spatial databases increases since the amount of the spatial data that need to be handled has increased by the use of digital maps, images from satellites, video cameras, medical equipment, sensor networks, etc. Spatial data are difficult to examine and extract interesting knowledge; hence, applications that assist decision-making about spatial data like weather forecasting, traffic supervision, mobile communication, etc. have been introduced. In this thesis, more natural and precise knowle...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
J. D. Wegner, A. Ok, A. Thiele, F. Rottensteiner, and U. Soergel, “URBAN BUILDING DETECTION FROM OPTICAL AND INSAR FEATURES EXPLOITING CONTEXT,” Saint Mande, FRANCE, 2010, vol. 38, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55191.