Temperature estimation studies on infrared images using radiometric approaches

Atay, Yağmur
In this thesis work, temperature estimation algorithms based on physical and radiometric approaches are developed. Developed algorithms, firstly, tested on artificial images for different test cases. Following this, algorithms are tried out on real infrared images in order to verify that they are working properly. Finally, temperature estimations are done by including emissivity. Obtained results are compared to the temperature estimation results of a reference infrared camera. All the results and errors obtained during this study are presented and discussed.


Optimally merging precipitation to minimize land surface modeling errors
Yılmaz, Mustafa Tuğrul; Shrestha, Roshan; Anantharaj, Valentine G. (American Meteorological Society, 2010-03-01)
This paper introduces a new method to improve land surface model skill by merging different available precipitation datasets, given that an accurate land surface parameter ground truth is available. Precipitation datasets are merged with the objective of improving terrestrial water and energy cycle simulation skill, unlike most common methods in which the merging skills are evaluated by comparing the results with gauge data or selected reference data. The optimal merging method developed in this study minim...
Temporal variations and sources of elements in the South Pole atmosphere: 1. Nonenriched and moderately enriched elements
Tuncel, Süleyman Gürdal; ZOLLER, WH (American Geophysical Union (AGU), 1989-09-20)
Abstract High‐volume particle samples were collected from 1979 to 1983 from the south pole atmosphere and analyzed by nuclear methods. The new results are combined with similar studies at the south pole. There is no trend of concentrations during 12 years of sampling, but concentrations of elements fluctuate through seasonal cycles. Concentrations of elements associated with crustal dust and sea salt showed opposite seasonal variations. Concentrations of most crustal elements are low during winters, but dou...
Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios
OKKAN, UMUT; İnan, Gül (Wiley, 2015-09-01)
In this study, statistical downscaling of general circulation model (GCM) simulations to monthly inflows of Kemer Dam in Turkey under A1B, A2, and B1 emission scenarios has been performed using machine learning methods, multi-model ensemble and bias correction approaches. Principal component analysis (PCA) has been used to reduce the dimension of potential predictors of National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) reanalysis data. Then, the reasonabl...
Modeling Temperature and Pricing Weather Derivatives Based on Temperature
Tastan, Birhan; Hayfavi, Azize (2017-01-01)
This study first proposes a temperature model to calculate the temperature indices upon which temperature-based derivatives are written. The model is designed as a mean-reverting process driven by a Levy process to represent jumps and other features of temperature. Temperature indices are mainly measured as deviations from a base temperature, and, hence, the proposed model includes jumps because they may constitute an important part of this deviation for some locations. The estimated value of a temperature ...
Gravitational waves and gravitational memory
Korkmaz, Ali; Tekin, Bayram; Department of Physics (2018)
We study the gravitational waves produced by compact binary systems in the linear regime of massless general relativity and calculate the gravitational memory produced by these waves on a detector.
Citation Formats
Y. Atay, “Temperature estimation studies on infrared images using radiometric approaches,” M.S. - Master of Science, Middle East Technical University, 2011.