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
Road and pipeline route optimization by discrete differential dynamic programming.
Date
1976
Author
Tokalak, Oguz A
Metadata
Show full item record
Item Usage Stats
86
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/4638
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Road detection by mean shift segmentation and structural analysis
Dursun, Mustafa; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2012)
Road extraction from satellite or aerial images is a popular issue in remote sensing. Extracted road maps or networks can be used in various applications. Normally, maps for roads are available in geographic information systems (GIS), however these informations are not being produced automatically. Generally they are formed with the aid of human. Road extraction algorithms are trying to detect the roads from satellite or aerial images with the minimum in-teraction of human. Aim of this thesis is to analyze ...
Road and railway detection in SAR images using deep learning
Sen, Nigar; Olgun, Orhun; Ayhan, Oner (2019-01-01)
Detection and segmentation of motorways, railroads and other roads with similar features are significant for comprehension of both low and high resolution synthetic aperture radar (SAR) imagery. Separation of transportation network from other fields or features is important to understand area contained in SAR image (i.e. the road density can inform about characteristic of that area). Standard image processing methods are inadequate to detect multiple linear targets correctly where computer vision, especiall...
Road Target Tracking with an Approximative Rao-Blackwellized Particle Filter
Skoglar, Per; Orguner, Umut; Tornqvist, David; Gustafsson, Fredrik (2009-07-09)
Using prior information about the road network will improve the estimation performance for a road constrained target significantly. Several estimation methods have been proposed to handle the multi-modality that arise in a road target tracking application. One popular filter suitable for this kind of non-linear problems is the Particle Filter, but a major drawback is that the Particle filter requires a large amount of particles as the state dimension increases to maintain a good approximation of the filteri...
Road extraction from high resolution satellite images using adaptive boosting with multi-resolution analysis
Çınar, Umut; Çetin, Yasemin; Department of Information Systems (2012)
Road extraction from satellite or aerial imagery is a popular topic in remote sensing, and there are many road extraction algorithms suggested by various researches. However, the need of reliable remotely sensed road information still persists as there is no sufficiently robust road extraction algorithm yet. In this study, we explore the road extraction problem taking advantage of the multi-resolution analysis and adaptive boosting based classifiers. That is, we propose a new road extraction algorithm explo...
Highway maintenance techniques with emphasis on the use of asphalt emulsions.
Cenker, Levent; Department of Civil Engineering (1976)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. A. Tokalak, “Road and pipeline route optimization by discrete differential dynamic programming.,” Middle East Technical University, 1976.