Tree crown detection using multispectral satellite imagery

Download

index.pdf

Date

2018

Author

Onağ, Mehmet Mert

Metadata

Show full item record

Item Usage Stats

252
views

115
downloads

The goal of the present study is to investigate the underlying mechanics of a likely interaction between two phenomena, namely “War” and “DDoS Attacks”, using computational methods. For this, first, we study the characteristics of the Lanchester Combat (Kinetic) Model, the Kermack and McKendrick’s Epidemic (S-I-R) Model and the Mixed Epidemic Model. Then we propose a computational model and run simulations that simulate the influence of DDoS on the available combat model. The analyses and the results of simulated data reveal the potential influence of DDoS attacks, by providing insights about the cyber war effects on war and casualties that may impact the fighting sides.

Subject Keywords

Remote sensing., Imaging systems., DImage processing., Aerial photogrammetry.

URI

http://etd.lib.metu.edu.tr/upload/12622093/index.pdf
https://hdl.handle.net/11511/27284

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Effects of A DDoS attack on a military operation Kılıç, Lütfi; Acartürk, Cengiz; Department of Information Systems (2018) The goal of the present study is to investigate the underlying mechanics of a likely interaction between two phenomena, namely “War” and “DDoS Attacks”, using computational methods. For this, first, we study the characteristics of the Lanchester Combat (Kinetic) Model, the Kermack and McKendrick’s Epidemic (S-I-R) Model and the Mixed Epidemic Model. Then we propose a computational model and run simulations that simulate the influence of DDoS on the available combat model. The analyses and the results of sim...
A neural network method for direction of arrival estimation with uniform circular dipole array in the presence of mutual coupling Caylar, Selcuk; Leblebicioğlu, Mehmet Kemal; Dural, Guelbin (2007-06-16) In recent years application of Neural Network (NN) algorithms in both target tracking problem and DoA estimation have become popular because of the increased computational efficiency This paper presents the implementation of modified neural network algorithm(MN-MUST) to the uniform circular dipole array in the presence of mutual coupling. In smart antenna systems, mutual coupling between elements can significantly degrade the processing algorithms. In this paper mutual coupling affects on MN-MUST has been i...
Covert Channel Detection Using Machine Learning Çavuşoğlu, İmge Gamze; Alemdar, Hande; Onur, Ertan (2021-01-07) A covert channel is a communication method that misuses legitimate resources to bypass intrusion detection systems. They can be used to do illegal work like leaking classified (or sensitive) data or sending commands to malware bots. Network timing channels are a type of these channels that use inter-arrival times between network packets to encode the data to be sent. In this study, we worked with two types of network covert channels: Fixed Interval and Jitterbug. We were able to distinguish these channels f...
Covert channel detection using machine learning methods Çavuşoğlu, İmge Gamze; Alemdar, Hande; Department of Computer Engineering (2019) A covert channel is a communication method that misuses legitimate resources to bypass intrusion detection systems. They can be used to do illegal work like leaking classified (or sensitive) data or sending commands to malware bots. Network timing channels are a type of these channels that use inter-arrival times between network packets to encode the data to be sent. Although these types of channels are hard to detect, they are not used frequently due to their low capacity and sensitivity to the network con...
Early-exit convolutional neural networks Demir, Edanur; Akbaş, Emre; Department of Computer Engineering (2019) This thesis is aimed at developing a method that reduces the computational cost of convolutional neural networks (CNN) during inference. Conventionally, the input data pass through a fixed neural network architecture. However, easy examples can be classified at early stages of processing and conventional networks do not take this into account. In this thesis, we introduce “Early-exit CNNs”, EENets for short, which adapt their computational cost based on the input by stopping the inference process at certain...

Citation Formats

M. M. Onağ, “Tree crown detection using multispectral satellite imagery,” M.S. - Master of Science, Middle East Technical University, 2018.