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
An alternative method for snow cover mapping on satellite ımages by modern applied mathematics
Date
2017-01-01
Author
Kuter, Semih
Akyürek, Sevda Zuhal
Kuter, Nazan
Weber, Gerhard Wiehelm
Metadata
Show full item record
Item Usage Stats
138
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/73210
https://www.springer.com/gp/book/9783319552354
Relation
Modeling, Dynamics, Optimization and Bioeconomics II : DGS III, Porto, Portugal, February 2014, and Bioeconomy VII, Berkeley, USA, March 2014 - Selected Contributions
Collections
Department of Civil Engineering, Book / Book chapter
Suggestions
OpenMETU
Core
An alternative approach to the ground motion prediction problem by a non-parametric adaptive regression method
Yerlikaya-Ozkurt, Fatma; Askan Gündoğan, Ayşegül; Weber, Gerhard-Wilhelm (2014-12-01)
Ground Motion Prediction Equations (GMPEs) are empirical relationships which are used for determining the peak ground response at a particular distance from an earthquake source. They relate the peak ground responses as a function of earthquake source type, distance from the source, local site conditions where the data are recorded and finally the depth and magnitude of the earthquake. In this article, a new prediction algorithm, called Conic Multivariate Adaptive Regression Splines (CMARS), is employed on ...
An approximation for kanban controlled assembly systems
TOPAN, Engin; Avşar, Zeynep Müge (Springer Science and Business Media LLC, 2011-01-01)
An approximation is proposed to evaluate the steady-state performance of kanban controlled two-stage assembly systems. The development of the approximation is as follows. The considered continuous-time Markov chain is aggregated keeping the model exact, and this aggregate model is approximated replacing some state-dependent transition rates with constant rates. The approximate aggregate model is, then, decomposed into submodels and a product-form steady-state distribution is obtained for each submodel. Fina...
An empirical expression for the determination of mean critical flow velocity in slurry transporting pipeline systems
Göğüş, Mustafa (1999-09-10)
In this study, the effect of solid particle settling velocity on the mean critical mixture-flow velocity in a pipeline system is investigated. A graphical method proposed by Mitzmager (1964), for a quick and reliable calculation of particle-settling velocity, is used in the analysis. Following dimensional analysis applied on the main parameters of the problem the most suitable non-dimensional form of critical flow velocity is obtained from the application of regression analysis on the available data. Compar...
An approach to the mean shift outlier model by Tikhonov regularization and conic programming
TAYLAN, PAKİZE; Yerlikaya-Oezkurt, Fatma; Weber, Gerhard Wilhelm (IOS Press, 2014-01-01)
In statistical research, regression models based on data play a central role; one of these models is the linear regression model. However, this model may give misleading results when data contain outliers. The outliers in linear regression can be resolved in two stages: by using the Mean Shift Outlier Model (MSOM) and by providing a new solution for this model. First, we construct a Tikhonov regularization problem for the MSOM. Then, we treat this problem using convex optimization techniques, specifically c...
An improved method of photometric stereo using local shape from shading
Sakarya, U; Erkmen, İsmet (Elsevier BV, 2003-10-01)
This paper presents an improved photometric stereo (PS) method by integrating it with a local shape from shading (SFS) algorithm. PS produces the initial estimate of image for the global accuracy and also provides the recovery of albedo, SFS supplies the more detailed information within each homogeneous area. The quality of depth obtained by integrating PS and SFS is compared with the real depth using absolute dept error function, and the improvement ranging from 2.3 to 14% over PS is obtained.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Kuter, S. Z. Akyürek, N. Kuter, and G. W. Weber,
An alternative method for snow cover mapping on satellite ımages by modern applied mathematics
. 2017, p. 292.