CN109977609A - A kind of ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data - Google Patents

A kind of ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data Download PDF

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CN109977609A
CN109977609A CN201910305925.XA CN201910305925A CN109977609A CN 109977609 A CN109977609 A CN 109977609A CN 201910305925 A CN201910305925 A CN 201910305925A CN 109977609 A CN109977609 A CN 109977609A
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智喜洋
刘非
巩晋南
陈文彬
江世凯
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Harbin Institute of Technology
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Abstract

The ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data that the invention discloses a kind of, described method includes following steps: S1: carrying out radiant correction to original image, obtains the radiance of ground high temperature heat source target；S2: extraction is split to image high temperature pixel using fuzzy theory improved data analysis clustering algorithm is introduced；S3: carrying out temperature retrieval to high temperature pixel, obtains heat source temperature distribution；S4: entrance pupil heat source radiance value is calculated using the heat source temperature characterisitic parameter that S3 is obtained；S5: grey scale mapping is carried out pixel-by-pixel using entrance pupil heat source radiance value, obtains high temperature heat source emulating image.The present invention utilizes the atural object emissivity of truthful data inverting different zones, modeling and simulating is carried out to the temperature distributing characteristic of true high temperature heat source, the data that high temperature sources for false alarms radiation characteristic is highly restored under different condition are obtained, to support the design and optimization of space-based optical target sounding system detection algorithm to work.

Description

A kind of ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data
Technical field
The invention belongs to infrared remote sensing imaging simulation technical fields, are related to a kind of Surface heat source infrared remote sensing image simulation side Method.
Background technique
The optical detection of space-based aerial target and identification technology are just playing increasingly in military aerospace and national defense safety field Important role while how guaranteeing target high detection identification probability, reduces the research hotspot that false alarm rate is the field.And with Approximately the presence of the sources for false alarms such as aerial Gao Fanyun, ground high temperature heat source is likely to increase false alarm rate target, reduces the inspection of target Survey recognition performance.Especially for ground high temperature heat source, since it is with radiation energy and target is very close to and distributed area The features such as domain is wide has been considered as the main sources for false alarms of space-based optical detection.
In terms of existing literature, there are still many problems for the research in terms of associated heat source image simulation: (1) due to Space borne detection Under the conditions of high temperature heat source remote sensing image data it is less, existing research is confined to full digital trigger technique mode mostly, simulation model Accuracy is without sufficient in-orbit application verification, since the inaccuracy that model itself assumes will lead to the true to nature of simulation result It spends poor；(2) research focuses mostly in high temperature heat source Thermal infrared bands characteristic inverting at present, Thermal infrared bands data vulnerable to atmosphere, Background environment influences, especially lower to distribution area smaller temperature anomaly point inversion accuracy, and higher using spatial resolution, It is affected by atmospheric effects the rare report of research that smaller short infrared wave band carries out heat source characteristic inverting；(3) high temperature heat source emissivity, The emulation such as atmospheric transmittance, the clutter reflections rate conditions such as coefficient and actual imaging region, time, season are highly relevant, and current What many emulation coefficients assumed that, lack sufficient physical basis, and various detections under space-based earth observation can not be covered comprehensively The image simulation demand of condition.Therefore, existing method is also difficult to meet ground high temperature heat source characteristic under the conditions of space-based detects comprehensively The demand of emulation.How true remote sensing image data is sufficiently combined, proposes a kind of infrared figure of ground high temperature heat source of high confidence level The problem of as emulation mode being those skilled in the art's urgent need to resolve.
Summary of the invention
It is difficult to meet comprehensively ground high temperature heat source characteristic Simulation demand under the conditions of space-based detects to solve existing method Problem, the ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data that the present invention provides a kind of.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data, includes the following steps:
S1: radiant correction is carried out to original image, obtains the radiance of ground high temperature heat source target.
S2: image high temperature pixel is carried out using fuzzy theory improved data analysis clustering algorithm-Kmeans is introduced Segmentation is extracted；Specific step is as follows:
S21: artificial to extract high temperature heat source pixel region；
S22: initialization cluster number k, the free parameter b for controlling mixability and characterization sample xjMembership class μiJourney The ownership matrix P (μ of degreei|xj), i=1 ..., k；J=1 ..., n；N is data sample number；
S23: cluster centre more new formula:
Membership function more new formula:
Objective function:
Constraint condition:
S24: setting threshold value σ repeats S23 step, and until objective function J is less than threshold value σ, σ > 0, σ can appoint according to practical Occurrence is manually set in the different of business；
S3: carrying out temperature retrieval to high temperature pixel, obtains heat source temperature distribution；Specific step is as follows:
S31: the selection of inverting wavelength: 10~14 μm of classical thermal infrared wavelength ranges and have more extensive saturation degree tolerance It is worth 1.3~2.5 mu m waveband joint inversion of shortwave；
S32: temperature retrieval formula is as follows:
In formula, L indicates high temperature pixel radiance after atmospheric correction；ρ indicates clutter reflections rate；ε indicates high-temperature targets hair Penetrate rate；S indicates high-temperature targets pixel area accounting；E indicates solar irradiance at ground；T indicates high temperature heat source temperature；λ table Show radiation wavelength.
Wherein:
In formula, εmIndicate the infrared average emitted rate of ground object area m；TmIndicate ground object area m surface temperature；ftIndicate ground The infrared spoke brightness of object；c1For first radiation constant；c2For second radiation constant；E (λ) is the ambient light spectrum in middle infrared band Irradiation level is calculated using atmospheric radiation transmission MODTRAN；R (λ) is camera system spectral response functions.
S4: different wave length, Surface heat source temperature, atmospheric transmittance etc. are calculated using the heat source temperature characterisitic parameter that S3 is obtained Under the conditions of entrance pupil heat source radiance value, entrance pupil heat source radiance value calculation formula is as follows:
LEmulation=ε BS+ (1- ε) ES+ ρ E (1-S)；
In formula, B indicates the spoke brightness of high-temperature targets under simulated conditions, is calculated by Planck law；ρ indicates clutter reflections Rate；ε indicates high-temperature targets emissivity；S indicates high-temperature targets pixel area accounting；E indicates solar irradiance at ground.
S5: grey scale mapping is carried out pixel-by-pixel using the entrance pupil heat source radiance value being calculated under S4 simulated conditions, is obtained To high temperature heat source emulating image.
Compared with the prior art, the present invention has the advantage that
(1) it is based on physics imaging model, sufficiently temperature retrieval is carried out in conjunction with the infrared remote sensing image data of real scene shooting, ensure that The genuine and believable property of simulation result；
(2) in view of short-wave infrared data have, spatial resolution is high, is affected by atmospheric effects the advantages such as small, and present invention fusion is short The infrared temperature characterisitic inverting that high temperature heat source is carried out with Thermal infrared bands data of wave, improve the accuracy of temperature retrieval result with The resolution ratio of emulating image；
(3) present invention, which has, show that the height under different imaging regions, time, season is true based on true remote sensing images inverting Property with accuracy emulation coefficient ability, and combine physics imaging model, obtain various detection conditions under space-based earth observation High temperature heat source infrared simulation image.
Detailed description of the invention
Fig. 1 is that the present invention is based on the ground high temperature heat source Infrared Image Simulation method flow diagrams of remote sensing image；
Fig. 2 is the fuel tank explosion infrared remote sensing image after ENVI radiation calibration；
Fig. 3 is to improve Kmeans high temperature pixel to divide schematic diagram, image after (a) is cut, (b) segmentation result；
Fig. 4 is heat source spoke brightness analogous diagram under specific temperature, and (a) fire point pixel position, (b) pixel brightness emulates；
Fig. 5 be different wave length heat source spoke brightness analogous diagram, 1.609 μm of (a), (b) 2.201 μm, (c) 3.51 μm.
Specific embodiment
Further description of the technical solution of the present invention with reference to the accompanying drawing, and however, it is not limited to this, all to this Inventive technique scheme is modified or replaced equivalently, and without departing from the spirit and scope of the technical solution of the present invention, should all be covered Within the protection scope of the present invention.
The present embodiment, as experimental data, is made using true Surface heat source infrared image using software MATLAB2012a For emulation tool.
As shown in Figure 1, the ground high temperature heat source Infrared Image Simulation side provided in this embodiment based on true remotely-sensed data Method the following steps are included:
S1: radiant correction is carried out to original image, obtains the radiance of ground high temperature heat source target；
S2: image high temperature pixel is carried out using fuzzy theory improved data analysis clustering algorithm-Kmeans is introduced Segmentation is extracted；
S3: carrying out temperature retrieval to high temperature pixel, obtains heat source temperature distribution；
S4: the heat source temperature characterisitic parameter obtained using S3 calculates different wave length, Surface heat source temperature, atmospheric transmittance Entrance pupil heat source radiance value Deng under the conditions of；
S5: grey scale mapping is carried out pixel-by-pixel using the entrance pupil heat source radiance value being calculated under S4 simulated conditions, is obtained To high temperature heat source emulating image.
The algorithm carries out the high temperature heat source pixel region image manually cut by ENVI by software MATLAB2012a High temperature heat source image element extraction obtains Radiation Attribution parameter, in conjunction with simulated conditions, the spoke of heat source pixel under the conditions of computer sim- ulation Brightness is penetrated, and then generates heat source infrared simulation image.
Previous step is described in detail separately below:
As shown in Fig. 2, carrying out radiation calibration, and hand to optics fuel tank explosion satellite remote sensing images using ENVI in step S1 It is dynamic to cut out interested fire point pixel region, in which: calibration type: radiance data；Storage mode: BIL；Data type: Float；Unit regulation coefficient: 0.1, fire point pixel region size: 36 × 36 pixels.
As shown in figure 3, extracting fiery point by improved Kmean algorithm to input with the image after cutting in step S2 Pixel, setting parameter includes: classification number K=2；The free parameter b=2 for controlling mixability, improves the stability of algorithm；Most Big the number of iterations 10000.Certain condition can be arranged to the selection of Kmeans initial value point to reach better classifying quality, Such as: the position of the distance between initial cluster center, initial value point.
In step s3, temperature retrieval is carried out to the high temp fire point pixel being partitioned into, the formula of temperature retrieval is as follows:
Wherein, L is fire point radiance, is divided after MATLAB being imported by the ascii text file after ENVI radiant correction It cuts to obtain data；E is solar radiation brightness at ground, can be calculated by Modtran model, the parameter of setting includes: Time, longitude and latitude, zenith angle, aerosol type；c1=3.742 × 108W·μm4/m2；c2=1.433 × 10-2μm/k.This reality Apply the time in example are as follows: on April 22nd, 2016, longitude and latitude are as follows: 120 ° of 16 ' E, 31 ° of 59 ' N, solar zenith angle θ are as follows: 30.771 °, gas Colloidal sol type are as follows: Rual-VIS=23km.
The Temperature Distribution of 14 fire point pixels of inverting is shown in Table 1 in the present embodiment:
1 fuel tank explosion inverting temperature of table
Fig. 4 show the emulating image under fire temperature increase 200K simulated conditions, and according to experimental result, fire point pixel can It can guarantee the true effect of emulation so that the arbitrary temp greater than 500K is arranged.
The radiance analogous diagram of high temperature pixel is as shown in figure 5, Fig. 5 reflects different-waveband fire point under the conditions of different wave length Radiation profiles characteristic.
As can be seen from the above technical solutions, compared with prior art, the present invention is for ground high temperature heat source remote sensing images Emulation technology makes improvement, establishes the inverse model based on physics imaging mechanism in conjunction with true remote sensing images, then pass through shortwave The temperature distributing characteristic parameter of more accurate ground high temperature heat source is obtained with the anti-two waveband inverting of thermal infrared, and then is calculated different The new radiation profiles of ground high temperature heat source under simulated conditions, the gray scale for being mapped to image obtain corresponding emulating image, guarantee The accuracy of simulation result.The present invention utilizes the atural object emissivity of truthful data inverting different zones, to true high temperature heat source Temperature distributing characteristic carries out modeling and simulating, obtains the data that high temperature sources for false alarms radiation characteristic is highly restored under different condition, with branch Support the design and optimization work of space-based optical target sounding system detection algorithm.

Claims (4)

1. a kind of ground high temperature heat source Infrared Image Simulation method based on true remotely-sensed data, it is characterised in that the method packet Include following steps:
S1: radiant correction is carried out to original image, obtains the radiance of ground high temperature heat source target；
S2: image high temperature pixel is split using fuzzy theory improved data analysis clustering algorithm-Kmeans is introduced It extracts；
S3: carrying out temperature retrieval to high temperature pixel, obtains heat source temperature distribution；
S4: entrance pupil heat source radiance value is calculated using the heat source temperature characterisitic parameter that S3 is obtained；
S5: grey scale mapping is carried out pixel-by-pixel using the entrance pupil heat source radiance value being calculated under S4 simulated conditions, obtains height Temperature-heat-source emulating image.
2. the ground high temperature heat source Infrared Image Simulation method according to claim 1 based on true remotely-sensed data, special Sign is the S2, and specific step is as follows:
S21: artificial to extract high temperature heat source pixel region；
S22: initialization cluster number k, the free parameter b for controlling mixability and characterization sample xjMembership class μiDegree Belong to matrix P (μi|xj), i=1 ..., k；J=1 ..., n；N is data sample number；
S23: cluster centre more new formula:
Membership function more new formula:
Objective function:
Constraint condition:
S24: setting threshold value σ repeats S23 step, until objective function J is less than threshold value σ.
3. the ground high temperature heat source Infrared Image Simulation method according to claim 1 based on true remotely-sensed data, special Sign is the S3, and specific step is as follows:
S31: the selection of inverting wavelength: 10~14 μm of classical thermal infrared wavelength ranges and have more extensive saturation degree tolerance value it is short 1.3~2.5 mu m waveband joint inversion of wave；
S32: temperature retrieval formula is as follows:
In formula, L indicates high temperature pixel radiance after atmospheric correction；ρ indicates clutter reflections rate；ε indicates high-temperature targets emissivity； S indicates high-temperature targets pixel area accounting；E indicates solar irradiance at ground；c1For first radiation constant；c2For the second spoke Penetrate constant；T indicates high temperature heat source temperature；λ indicates radiation wavelength.
4. the ground high temperature heat source Infrared Image Simulation method according to claim 1 based on true remotely-sensed data, special Sign is that the entrance pupil heat source radiance value calculation formula is as follows:
LEmulation=ε BS+ (1- ε) ES+ ρ E (1-S)；
In formula, B indicates the spoke brightness of high-temperature targets under simulated conditions, is calculated by Planck law；ρ indicates clutter reflections rate；ε table Show high-temperature targets emissivity；S indicates high-temperature targets pixel area accounting；E indicates solar irradiance at ground.
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CN110569797A (en) * 2019-09-10 2019-12-13 云南电网有限责任公司带电作业分公司 earth stationary orbit satellite image forest fire detection method, system and storage medium thereof
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CN111753754B (en) * 2020-06-28 2023-09-12 三亚中科遥感研究所 Straw burning fire point identification method based on heat source heavy industry area analysis
CN113686451A (en) * 2021-07-09 2021-11-23 中国科学院合肥物质科学研究院 Spectral emissivity measuring method and system
CN114925553A (en) * 2022-07-20 2022-08-19 成都众享天地网络科技有限公司 Infrared image simulation method based on theoretical/semi-empirical method
CN114925553B (en) * 2022-07-20 2022-11-04 成都众享天地网络科技有限公司 Infrared image simulation method based on theoretical/semi-empirical method

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Inventor before: Zhi Xiyang

Inventor before: Liu Fei

Inventor before: Gong Jinnan

Inventor before: Chen Wenbin

Inventor before: Jiang Shikai

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