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
Hypothesis based detection of building with rectilinear projection in satellite images using shade and color information
Date
2010-12-01
Author
Güdücü, Volkan
Halıcı, Uğur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
243
views
0
downloads
Cite This
A new hypothesis based method for detecting rectilinear buildings, that have ground projection made of combination of rectangles, in satellite images is proposed. While the hypotheses are established using the lines detected in the satellite images they are verified by using shadow and color segmentation information. The proposed method is implemented in MATLAB and tested in satellite images of different urban areas. The experimental results obtained are encouraging. ©2010 IEEE.
Subject Keywords
Buildings
,
Image resolution
,
Art
,
Data mining
,
Urban areas
,
Remote sensing
,
Satellites
URI
https://hdl.handle.net/11511/56231
DOI
https://doi.org/10.1109/siu.2010.5651464
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Building Detection in satellite images by textural features and Adaboost
CETIN, MELIH; Halıcı, Uğur (2010-08-24)
A method based on textural features and Adaboost for detecting buildings in satellite images is proposed. Several local textural features including mean and standard deviation of image intensity and gradient, Zernike moments, Circular-Mellin features, Haralick features, Fourier Power Spectrum, Wavelets, Gabor Filters, and a set features extracted from HSV color space are extracted. Adaboost learning algorithm is employed for both classification and determining the beneficial feature subset, due to its featu...
Image fusion for improving spatial resolution of multispectral satellite images
Ünlüsoy, Deniz; Süzen, Mehmet Lütfi; Department of Geological Engineering (2013)
In this study, four different image fusion techniques have been applied to high spectral and low spatial resolution satellite images with high spatial and low spectral resolution images to obtain fused images with increased spatial resolution, while preserving spectral information as much as possible. These techniques are intensity-hue-saturation (IHS) transform, principle component analysis (PCA), Brovey transform (BT), and Wavelet transform (WT) image fusion. Images used in the study belong to Çankırı reg...
Image formation model for photon sieves
Öktem, Sevinç Figen; Kamalabadi, Farzad (2013-09-15)
A photon sieve, modification of a Fresnel zone plate, has been recently proposed to achieve higher resolution imaging and spectroscopy at UV and x-ray wavelengths. In this paper, we present Fresnel imaging formulas that relate the output of a photon sieve imaging system to its input, originating from either a coherent or incoherent extended source. By using a well-known model for the zone plate, we also provide approximations to these imaging formulas, which are more efficient to compute. These imaging rela...
Automated Detection of Arbitrarily Shaped Buildings in Complex Environments From Monocular VHR Optical Satellite Imagery
Ok, Ali Ozgun; Senaras, Caglar; Yuksel, Baris (2013-03-01)
This paper introduces a new approach for the automated detection of buildings from monocular very high resolution (VHR) optical satellite images. First, we investigate the shadow evidence to focus on building regions. To do that, we propose a new fuzzy landscape generation approach to model the directional spatial relationship between buildings and their shadows. Once all landscapes are collected, a pruning process is developed to eliminate the landscapes that may occur due to non-building objects. The fina...
Experimental investigation of the turbulent near wake flow field of multiscale/fractal grids
Amiri Hazaveh, Hooman; Uzol, Oğuz; Department of Aerospace Engineering (2018)
Turbulent near-field flow of three different fractal grids, as well as conventional square grid, is investigated using two-dimensional particle image velocimetry. All grids are designed to maintain similar solidity, effective mesh size, and the smallest thickness for comparison. Experiments are conducted at a Reynolds number of 12000 based on effective mesh size. The instantaneous velocity field is realized on four sets of 35 equally spaced horizontal planes downstream of turbulence-generating-grids. Threed...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
V. Güdücü and U. Halıcı, “Hypothesis based detection of building with rectilinear projection in satellite images using shade and color information,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56231.