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
Semi-automated registration of BILSAT-1 XS imagery via global orthorectified landsat ETM plus data set
Date
2007-06-16
Author
Ok, Ali Oezguen
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
157
views
0
downloads
Cite This
In this study, a semi-automated registration methodology that can be adapted to BILSAT-1 XS images is proposed. Orthorectified and geodetically accurate global land datasets generated from the Landsat ETM+ images are used as the reference sources. Three different test sites are employed to test the accuracies of the registration. The accuracies of the registration were assessed using Independent Check Points (ICPs) which were manually collected from 1:25000-scale digital topographic maps of Turkey. The computed overall GCP accuracy was found to be better than 0.5 pixels. The registration of BHSAT-1 XS images using panchromatic and green layers of Landsat ETM+ datasets yielded overall ICP RMS errors of +/-1.03 and +/-1.08 pixels, respectively.
Subject Keywords
Models
URI
https://hdl.handle.net/11511/64310
DOI
https://doi.org/10.1109/rast.2007.4284003
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
t-Government for benefit realisation: A research agenda
Sahraoui, S.; Ghoneim, A.; Irani, Z.; Özkan Yıldırım, Sevgi (2008-01-01)
This chapter proposes a model for t-Government and highlights the research agenda needed to increase understanding of transformational government and the processes involved in furthering the agenda of t-Government. In particular, both an operational and a conceptual model for effective involvement of citizens and businesses in government functioning have been proposed. This will help to define an agenda for t-Government research that emerges from national UK strategy and policy for e-Government. The main th...
Texture segmentation using the mixtures of principal component analyzers
Musa, MEM; Duin, RPW; de Ridder, D; Atalay, Mehmet Volkan (2003-01-01)
The problem of segmenting an image into several modalities representing different textures can be modelled using Gaussian mixtures. Moreover, texture image patches when translated, rotated or scaled lie in low dimensional subspaces of the high-dimensional space spanned by the grey values. These two aspects make the mixture of local subspace models worth consideration for segmenting this type of images. In recent years a number of mixtures of local PCA models have been proposed. Most of these models require ...
Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm
GÜNEY, YEŞİM; ARSLAN, OLÇAY; Gökalp Yavuz, Fulya (2022-09-01)
© 2022 Elsevier Inc.In the analysis of repeated or clustered measurements, it is crucial to determine the dynamics that affect the mean, variance, and correlations of the data, which will be possible using appropriate models. One of these models is the joint mean–covariance model, which is a multivariate heteroscedastic regression model with autoregressive covariance structures. In these models, parameter estimation is usually carried on under normality assumption, but the resulting estimators will be very ...
An investigation of pre-service mathematics teachers' semiotic representations and modeling routes in a mathematical modeling activity
Çetinbaş, Merve; Çetinkaya, Bülent; Department of Mathematics Education (2022-9-1)
This study aimed to examine the characteristics of pre-service mathematics teachers' mathematical modeling processes in terms of semiotic representations and the modeling routes varying within the scope of these characteristics. Participants were 13 pre-service teachers studying at a state university in Ankara and enrolled in an elective course entitled “Mathematical Modeling for Teachers.” Data were collected through a technology-integrated mathematical modeling activity. The pre-service mathematics teache...
TASK ORIENTED KINEMATIC ANALYSIS FOR A LEGGED ROBOT WITH HALF-CIRCULAR LEG MORPHOLOGY
Sayginer, Ege; Akbey, Tulay; Yazıcıoğlu, Yiğit; Saranlı, Afşar (2009-05-17)
In this paper, we study the kinematics of a legged robot with half-circular leg morphology. In particular, our focus is on the RHex hexapod platform. A new kinematic model for RHex is developed considering the leg shape and its consequences, which was over simplified in the previous models seen in literature. The formulation is an accurate kinematic representation of the robot in the sagittal plane that is based on a four-link mechanism analogy. When only pure rolling motion of the legs are considered, it i...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. O. Ok, “Semi-automated registration of BILSAT-1 XS imagery via global orthorectified landsat ETM plus data set,” 2007, p. 315, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64310.