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KR-20260064242-A - Method and Computing Device for Emissivity Estimation, and Recording Medium Thereof

KR20260064242AKR 20260064242 AKR20260064242 AKR 20260064242AKR-20260064242-A

Abstract

The emissivity estimation method of the present invention simplifies the radiation model in an indoor environment, utilizes the difference between the target and background temperatures, and integrates hyperspectral imaging data with the ASTER TES algorithm, thereby enabling more accurate and practical emissivity measurements than existing methods. In particular, measurement errors can be minimized through an improved atmospheric downward radiation calculation method using gold mirror radiation information.

Inventors

  • 김성호
  • 장예원
  • 김주연

Assignees

  • 영남대학교 산학협력단
  • 에이존테크 주식회사

Dates

Publication Date
20260507
Application Date
20241031

Claims (11)

  1. In a method for measuring emissivity using long-wavelength hyperspectral imaging in an indoor environment, A step of simplifying the radiation model under conditions where there is no solar radiation, the distance between the object and the sensor is close, atmospheric transmittance is 1, and upward radiation is 0; A step of generating a temperature difference by heating the object above the background temperature, and a step of measuring radiation information of the gold mirror and the object with a hyperspectral imaging sensor; A step of calculating atmospheric downward radiation using the measured radiation information of the gold mirror; and A step of estimating the emissivity of an object by applying the ASTER TES algorithm; A method for measuring emissivity including
  2. In paragraph 1, The above atmospheric downward radiation calculation is, A method for measuring emissivity calculated according to
  3. In paragraph 1, A method for measuring emissivity in which the above-mentioned object and the gold mirror are installed at the same angle with respect to the surface of the earth, and the angles are 80 degrees and 65 degrees.
  4. In paragraph 1, A method for measuring emissivity in which the above-mentioned object is heated to a temperature 2°C or higher than the background temperature.
  5. In paragraph 1, The above radiation model is, It is simplified according to, where is the radiation measured by the sensor, ε is the emissivity, is blackbody radiation, is the object temperature, is a method for measuring emissivity, which is atmospheric downward radiation.
  6. A recording medium storing a program implemented to enable a computer to execute the emissivity measurement method described in any one of paragraphs 1 to 5.
  7. Memory for storing a program coded so that the emissivity estimation method can be read by a computer; and A processor that executes the above program; including, The above emissivity estimation method is, A step of simplifying the radiation model under conditions where there is no solar radiation, the distance between the object and the sensor is close, atmospheric transmittance is 1, and upward radiation is 0; A step of generating a temperature difference by heating the object above the background temperature, and a step of measuring radiation information of the gold mirror and the object with a hyperspectral imaging sensor; A step of calculating atmospheric downward radiation using the measured radiation information of the gold mirror; and A step of estimating the emissivity of an object by applying the ASTER TES algorithm; An arithmetic unit including
  8. In Paragraph 7, The above atmospheric downward radiation calculation is, An arithmetic unit that calculates according to
  9. In Paragraph 7, A computing device in which the above-mentioned object and the gold mirror are installed at the same angle with respect to the surface of the earth, and the angles are 80 degrees and 65 degrees.
  10. In Paragraph 7, The above object is a computing device that is heated to a temperature 2°C or higher than the background temperature.
  11. In Paragraph 7, The above radiation model is, It is simplified according to, where is the radiation measured by the sensor, ε is the emissivity, is blackbody radiation, is the object temperature, is a computing unit that is a downward radiator of the atmosphere.

Description

Method and Computing Device for Emissivity Estimation, and Recording Medium Thereof The present invention relates to a method for directly estimating emissivity by utilizing long-wavelength hyperspectral imaging in an indoor environment to create a temperature difference between an object and the surroundings. Emissivity is an important characteristic representing an object's ability to emit thermal energy, playing a key role in interpreting temperature and material properties in the fields of thermal imaging and remote sensing. Conventional methods for measuring emissivity can be broadly classified into direct measurement methods, which measure the energy radiated from an object, and indirect measurement methods, which measure the intensity of the reflected light by shooting a laser at the surface of an object and calculate the emissivity inversely. Most spectrometers used for emissivity estimation employ an indirect measurement method. While spectrometers allow for the measurement of emissivity with high accuracy, they have the limitation that they can only measure small, flat samples. Direct measurement methods via remote sensing are primarily utilized to measure surface emissivity and temperature using thermal infrared sensors mounted on satellites or aircraft, and methods such as the ASTER TES (Temperature and Emissivity Separation) algorithm, which uses hyperspectral data, have been widely employed. This method measures accurate emissivity by compensating for the influence of various environmental factors, such as atmospheric transmittance, solar radiation, and atmospheric radiation, to estimate emissivity. However, applying the above method to indoor environments made accurate emissivity measurements difficult due to the interaction between the object and the surrounding environment. In particular, there was a problem where emissivity estimation was impossible when the object and background temperatures were the same. In addition, while hyperspectral imaging has the advantage of being able to analyze the spectral characteristics of objects in detail, its utilization has been low because methods for analyzing hyperspectral data in indoor environments have not been systematically established. Furthermore, most existing emissivity measurement methods assumed that the radiation from gold mirrors was identical to downward atmospheric radiation; however, this assumption of ideal reflectivity caused errors during actual measurements. While some correction methods have been proposed to address this issue, a systematic application method for indoor environments has not been established. Figure 1 is a flowchart of the method for estimating emissivity according to the present invention. FIG. 2 is a block diagram of a computational device implementing the emissivity estimation method of the present invention. Embodiments of the present invention will be described in detail below with reference to the drawings. However, detailed descriptions of known functions or configurations that may obscure the essence of the present invention in the following description and the attached drawings are omitted. Additionally, throughout the specification, the term 'comprising' a component means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Additionally, terms such as first, second, etc. may be used to describe various components, but said components should not be limited by said terms. said terms may be used for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The terms used in this invention are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "comprising" are intended to specify the existence of the described features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Unless specifically defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application. The present invention relates to a method for measuring emissivity using long-wavelength hyperspectral ima