Generalized Method of Biparametric Sub Pixel Thermal Location

Author(s)
A. Sh. Mehdiyev^{1},
N. A. Abdullayev^{2},
R. N. Abdulov^{2},
H. H. Asadov^{3},
Sevda N. Abdullayeva^{4}

Affiliation(s)

^{1}
National Aviation Academy, Baku, Azerbaijan.

^{2}
Research Institute of Ministry of Defence Industry, Baku, Azerbaijan.

^{3}
Research Institute of Aerospace Informatics, Baku, Azerbaijan.

^{4}
Scientific-Industrial Center, OZONE, Baku, Azerbaijan.

ABSTRACT

It is well-known that according the Dozier’s method, utilization of integral of Planks function in fusion of signals of two different channels of airborne radiometer makes it possible to compute such components of temperature field within one pixel as temperatures of the object and background. In the paper, the generalization of Dozier method is suggested. The suggested generalization of Dozier’s bispectral method named as biparametric method is applicable for static remote objects. In the suggested biparametric method, the measurements are carried out at the moments*t*_{1} and *t*_{2}. It is assumed that
the object temperature reaches quantity *T*(*t*_{1}) and *T*(*t*_{2}) at these
moments. On the bases of operational data of scanning infrared radiometer, the
square area of one pixel can be calculated in dependence of distance between
object and radiometer. This makes it possible to carry out location of static
objects from two basis points using serial single wavelengths measurements of
radiation emitted by the sub pixel object.

It is well-known that according the Dozier’s method, utilization of integral of Planks function in fusion of signals of two different channels of airborne radiometer makes it possible to compute such components of temperature field within one pixel as temperatures of the object and background. In the paper, the generalization of Dozier method is suggested. The suggested generalization of Dozier’s bispectral method named as biparametric method is applicable for static remote objects. In the suggested biparametric method, the measurements are carried out at the moments

Received 29 January 2016; accepted 9 May 2016; published 12 May 2016

1. Introduction

It is well-known that between such spheres of technical cybernetics as location, positioning and remote sensing, the firm interrelation does exist. The information theory based grounding of such an interrelation firstly is described in the work [1] .

The properties of thermal location are that the pixel type structure of images used for location purposes by scanning airborne radiometers leads to inevitable errors of integrated assessment of signal. Upon thermal scanning of surface of researched object, if the latter contains two different surface materials, all radiation emitted from these materials located within one pixel will be averaged as a single pixel signal depending on wavelength of sensor’s operational channel.

According to [2] , utilization of integral of Planks function for different channels of airborne radiometer makes it possible to compute following parameters:

1) Radiation temperature of one of two temperature fields on sub pixel level of resolution;

2) Share of each component of temperature field within pixel (that is temperatures of the object and background).

If assume, that effect of atmosphere is lacking, the upward radiation at the input of airborne scanning radiometer will be determined as [1]

(1)

where:―emissivity at the wavelength λ;

―Plank’s function, W∙m^{−3};

―sensor’s spectral instrument function.

The Planks functions of black body with temperature T at the wavelength λ is determined as

(2)

where: С_{1}―the first constant of Plank, equals to 3.741832 × 10^{−16} W∙m^{2};

С_{2}―the second constant of Plank, equals to 1.438786 × 10^{−2} m∙k;

Т―temperature, K;

λ―wavelength, μm.

The property of the Planks function is that if in the fixed temperature T_{1}, the signal at the wavelength λ_{1} surpasses the signal at the wavelength λ_{2} in sufficiently higher temperature T_{2}, the contrary case does occur.

This property of the Plank’s function is illustrated in Figure 1, where the output signals of 3-rd and 4-th channels of AVHRR radiometer installed on the board NOAA-6 are shown. As it seen from shown graphics upon temperature above 460 K, the signal of 4-th channel (102 - 116 μm) surpasses the one of 3-rd channel (35 - 40 μm).

The above said property is the bases of the Dozier’s method [2] , according which the total radiation emitted from non-homogenous, two-parts structured pixel at the surface of researched site upon lacking of atmospheric effect can be computed as

(3)

where: p―weight coefficient; 0 < p < 1;

Figure 1. Dependence of signals of 3-rd and 4-th channels from temperature in spectroradiometer AVHRR of satellite NOAA-6.

T_{t}―objects temperature;

λ_{1}, λ_{2}―wavelengths used for measurements.

According to the Dozier’s method upon carrying out measurements at the wavelengths λ_{1} and λ_{2}, if the value of T_{b} is known, the amount of p and T_{t} can be calculated using the system of Equation (3). It should be noted that to remove any possible dynamic errors, all measurements upon realization of this method should be carried out synchronously. This method makes it possible to carry out the sub pixel remote identification of hidden and remote objects.

2. Further Development of Doziers Bispectral Method and Suggested Biparametric Generalization

The Dozier’s method further was developed and modernized in works [3] - [6] .

Let us consider in brief the modernized Dozier’s method described in [6] . In this modification the limitation imposed in [2] is characterizing the consideration of only ground component of radiation. In the work [6] the general case of remote assessment of parameters of heated remote sub pixel object is considered taking into account the effect of atmosphere. The Equation (3) in this case should be written as

(4)

(5)

where: L_{b}_{,4} and L_{b}_{,11}―atmospheric radiations at the wavelength 4 μm and 11 μm;

τ_{4} and τ_{11}―atmospheric transfer at the pertinent wavelengths.

Operationally, L_{b}_{,4} should be determined_{ }by averaging the radiation of neighbor pixels, assuming that these pixels are identical on temperature. Solution of Equations (4), (5) relative p an T_{i} is carried out as following. From Equations (4) and (5) we get

(6)

(7)

Equalling (6) and (7) we get

(8)

where:;.

If assume, that the radiation parameters of background are known, then obviously both components of the left side of equation (8) upon T_{f} ® ∞ asymptotically go near to zero. The solution of the task is gradual increase of T_{f} till the first component at the left side of (8) would approach zero with acceptable accuracy. Thus, the above said method named as Dozier method make it possible to calculate parameters p and T_{t} of sub pixel heated object carrying out radiometric measurements at the wavelength λ_{1} = 4 μm; λ_{2} = 11 μm. The suggested three- measured interpretation of the Dozier method is illustrated in Figure 2. The Figure 2 illustrate scheme of radiometric measurements at the wavelengths λ_{1} and λ_{2} at the moment t_{o} carried out for identification of sub pixel object with temperature T_{to}. As it is seen from three-measured diagram the line AB determines the graphical interpretation of carried out bispectral measurements.

The suggested generalization of Dozier’s bispectral method named as biparametric method is applicable for static remote objects. We assume that in the time interval the temperature of static remove object changes from T_{t}_{1} as far as T_{t}_{2} (Figure 3). The measurements are carried out at the single wavelength. The characteristics of the searched object is that the function

where: t―time of day, is approximately known.

Figure 2. Three-measured interpretation of Dozier’s method applicable for remote objects with unchanged temperature.

Figure 3. Three-measured interpretation of suggested biparametric method applicable for remote objects with changing temperature.

In the suggested biparametric method the measurements are carried out at the moments t_{1} and t_{2}. It is assumed that the object temperature reaches quantity T(t_{1}) and T(t_{2}) at these moments. The Equations (4) and (5) in the suggested biparametric method should be written as

(9)

(10)

From the Equation (9) we find

(11)

From Equation (10) we get

(12)

From both the Equation (11) and (12) we get

(13)

If according the initial condition are known, the parameter can be calculated using Equation (13). Then using one of Equations (6) or (7) the parameter p can be calculated. In order to determine distance as far as an object the following assumption is used. On the bases of operational data of scanning IR radiometer the square area of one pixel can be calculated in dependence of distance between object and radiometer

(14)

where: S_{pix}―square area of one pixel on the surface of object; l_{1}―distance between radiometer and object.

If

(15)

where: S_{ob}―square area of searched object.

In view of (14) and (15) we get

(16)

Having calculated l_{1} on the bases of Equation (16) we come to conclusion that the searched object is situated at the distance l_{1} from the radiometer. Obviously that in order to locate the object all above procedures should be repeated from another base point. Suppose that the second point is situated in distance l_{2} from the radiometer. To locate the object it is quite sufficient to draw circles with radius l_{1} and l_{2} from these bases points and the crossing point of these circles will determine the point of location of object.

3. Conclusion

Thus it is shown that the suggested generalization of the Dozier’s method named as biparametric sub pixel method of thermal location makes it possible to carry out such a location of static objects from two basis points using serial single wavelengths measurements of radiation emitted by the sub pixel object. Such a modification of Dozier’s method shows the universal character of two-parametric concept of measurements. Utilization of two wavelengths in known Dozier’s method and two serial time moments in suggested modification of the method prove the big potential of two-parametric concept of remote sub-pixel measurements.

Cite this paper

Mehdiyev, A. , Abdullayev, N. , Abdulov, R. , Asadov, H. and Abdullayeva, S. (2016) Generalized Method of Biparametric Sub Pixel Thermal Location.*Positioning*, **7**, 75-79. doi: 10.4236/pos.2016.72007.

Mehdiyev, A. , Abdullayev, N. , Abdulov, R. , Asadov, H. and Abdullayeva, S. (2016) Generalized Method of Biparametric Sub Pixel Thermal Location.

References

[1] Asadov, H.H. and Ismaylov, K.K.( 2011) Information Method for Synthesis of Optimal Data Subsystems Designated for Positioning, Location and Remote Sensing Systems. Positioning, 2, 61-64.

http://dx.doi.org/10.4236/pos.2011.21006

[2] Dozier, J. (1981) A Method for Satellite Identification of Surface Temperature Fields of Subpixel Resolution. Remote Sensing of Environment, 11, 221-229.

[3] Matson, M. and Dozier, J. (1981) Identification of Subresolution High Temperature Sources Using Termal IR Sensor. Photogrammetric Engineering and Remote Sensing, 47, 1311-1318.

[4] Matson, M. and Holben, B. (1987) Satellite Detection of Tropical Burning in Brazil. International Journal of Remote Sensing, 8, 509-516.

http://dx.doi.org/10.1080/01431168708948657

[5] Giglio, L. and Justice, C.O. (2003) Effect of Wavelength Selection Characterization of Fire Size and Temperature. International Journal of Remote Sensing, 24, 3515-3520.

http://dx.doi.org/10.1080/0143116031000117056

[6] Giglio, L. and Kendall, J.D. (2001) Application of the Dozier Retrieval to Wildfire Characterization: A Sensitivity Analysis. Remote sensing of Environment, 77, 34-39.

http://dx.doi.org/10.1016/S0034-4257(01)00192-4

[1] Asadov, H.H. and Ismaylov, K.K.( 2011) Information Method for Synthesis of Optimal Data Subsystems Designated for Positioning, Location and Remote Sensing Systems. Positioning, 2, 61-64.

http://dx.doi.org/10.4236/pos.2011.21006

[2] Dozier, J. (1981) A Method for Satellite Identification of Surface Temperature Fields of Subpixel Resolution. Remote Sensing of Environment, 11, 221-229.

[3] Matson, M. and Dozier, J. (1981) Identification of Subresolution High Temperature Sources Using Termal IR Sensor. Photogrammetric Engineering and Remote Sensing, 47, 1311-1318.

[4] Matson, M. and Holben, B. (1987) Satellite Detection of Tropical Burning in Brazil. International Journal of Remote Sensing, 8, 509-516.

http://dx.doi.org/10.1080/01431168708948657

[5] Giglio, L. and Justice, C.O. (2003) Effect of Wavelength Selection Characterization of Fire Size and Temperature. International Journal of Remote Sensing, 24, 3515-3520.

http://dx.doi.org/10.1080/0143116031000117056

[6] Giglio, L. and Kendall, J.D. (2001) Application of the Dozier Retrieval to Wildfire Characterization: A Sensitivity Analysis. Remote sensing of Environment, 77, 34-39.

http://dx.doi.org/10.1016/S0034-4257(01)00192-4