Errors in Thermal Imagers Temperature Resolution Determining

Abstract

Thermal imaging methods of environmental observation are often accompanied by the need to quantify the temperature distribution on the object’s surfaces. In such cases, the accuracy of modeling the information conversion processes that occur in thermal imaging systems is essential. All questions concerning the determination of thermal imagers temperature resolution are important. Experimental methods for determining temperature resolution in this sense are quite unambiguous and well-established in practice. And calculation methods are still being refined and are of interest to the scientific community.
 The article is devoted to the development of practical methods for calculating the thermal imagers temperature resolution. Such methods must be on the hand one accurate enough, and on the other hand - simple enough to be used in design organizations. The definition of the calculations error is also considered. The calculation model is based on the concept of equivalent noise temperature difference NETD as the most general characteristic of energy transformations in thermal imaging observations. The definition of NETD is based on the use of the thermal imager signal transmission function. A simplified version of the calculation method and an example of determining the temperature resolution for a thermal imager with a microbolometric matrix detector are presented. Such thermal imagers currently occupy a significant part of the market and the calculation of the characteristics of the device with a standard specification may be of interest to specialists. The influence of some elements of the mathematical information transformations model on the temperature resolution is shown. For example, as the background temperature increases, the temperature resolution decreases. The analysis of the proposed calculation model allowed us to outline ways to improve (reduce) temperature resolution. A feature of the developed methods is the possibility of their use for different thermal imaging systems, for example, for polarizing thermal imagers.

Development of a polarimetric thermal imager calibration method

“…In addition, a polarimetric thermal imager will be characterized by temperature resolution [4,5] . A classical parameter called the Noise Equivalent Temperature Difference (NETD) will be used for temperature separation.…”

Correlation-phase intellectual analysis of the complex degree of coherence of laser autofluorescence images of blood plasma and diagnosis of oncological changes in human organs

“…Розвитком "одноточкових" методів став більш загальний "двоточковий" підхід, заснований на аналізі ступеня узгодженості станів поляризації сусідніх (𝑟 1 , 𝑟 1 + 𝛥𝑟) точок поля розсіяного випромінювання [4][5][6][7][8][9][10][11]. Кількісно така кореляція характеризувалася величиною модуля комплексного ступеня взаємної поляризації із використанням інтелектуальних комп'ютерних методів обробки таких зображень (КСВП) 𝑉(𝑟 1 , 𝑟 1 + 𝛥𝑟) [12 -17].…”

Optical Sensor System for 3D Jones Matrix Reconstruction of Optical Anisotropy Maps of Self-Assembled Polycrystalline Soft Matter Films

“…A variety of optical analysis techniques Sensors 2024, 24, 1589 2 of 14 could be a promising avenue for addressing these pressing biomedical challenges [5][6][7][8][9][10]. The most sensitive to polarization manifestations of changes in the optical anisotropy of biological objects [11][12][13][14][15] are the multiparameter techniques of Mueller matrix [5,16,17], polarimetry [10,[18][19][20][21][22][23], matrix decomposition [24,25] and coordinate mapping [26][27][28][29] using various analytical approximations [6][7][8][9], computer proceedings [30][31][32][33][34] and optically devises [35][36][37][38][39][40].…”