CN110375859A - A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm - Google Patents
A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm Download PDFInfo
- Publication number
- CN110375859A CN110375859A CN201910614420.1A CN201910614420A CN110375859A CN 110375859 A CN110375859 A CN 110375859A CN 201910614420 A CN201910614420 A CN 201910614420A CN 110375859 A CN110375859 A CN 110375859A
- Authority
- CN
- China
- Prior art keywords
- water surface
- temperature
- unmanned plane
- surface temperature
- atmospheric
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 64
- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 18
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 13
- 238000005259 measurement Methods 0.000 claims abstract description 14
- 238000012937 correction Methods 0.000 claims abstract description 13
- 239000003643 water by type Substances 0.000 claims abstract description 10
- 230000003287 optical effect Effects 0.000 claims abstract description 5
- 238000012417 linear regression Methods 0.000 claims abstract description 3
- 230000005855 radiation Effects 0.000 claims abstract description 3
- 230000001052 transient effect Effects 0.000 claims abstract description 3
- 238000002834 transmittance Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 abstract description 7
- 238000005516 engineering process Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000004861 thermometry Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/80—Calibration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/80—Calibration
- G01J5/804—Calibration using atmospheric correction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The present invention discloses a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm, and (1) carries out the transient measurement of waters water surface temperature by the thermal infrared imager carried on unmanned plane；(2) add the optical filter for setting 10.4-12.5um before thermal infrared imager camera lens, to obtain the infra-red radiation channel under the wave band；(3) atmospheric correction models are set up；(4) temperature that relevant parameter, Atmospheric mean temperature and thermal infrared imager obtain in step (3) is inputted in atmospheric correction models, is finally inversed by water surface temperature；(5) linear regression is established using the temperature being finally inversed by true water surface temperature and step (4), modifies the parameter for establishing atmospheric correction models, its inverting is made to reach true temperature.This method can be obviously improved the precision of remote infrared survey water surface temperature, ensure that the reliability that water surface temperature data utilize.
Description
Technical field
The invention belongs to water surface thermometry field more particularly to a kind of infrared waters surface of unmanned plane based under mono window algorithm
Temperature measurement accuracy bearing calibration.
Background technique
The various production and living of current era are all closely bound up with water, during developing and utilizing water body resource, people
The activity of class inevitably brings pollution and destruction to water body.With the raising of social environment consciousness, people are to water body
Protection requirement is also higher and higher, either reservoir, lake and inshore water body.And accurately water temperature is then environmental protection, section
It grinds, the departments such as economy provide and effectively help and decision.
The temperature contact type measurement of the water surface, which has, at present carries out water surface acquisition monitoring using ship or launches buoy and measurement zone
Domain need to more blindly measure a large amount of data and be analyzed, and the cost of both modes is larger, and time-consuming and need to consider to be tested
The actual conditions in waters.It carries out being measurement method emerging in recent years when contactless measurement using unmanned plane, it can be effective
Evade the problem of contact type measurement is brought, but negative issue therewith also occurs, i.e. the maximum bottleneck of restriction this method is to survey
Accuracy of measurement problem.And bearing calibration proposed in this paper can effectively eliminate the factors bring temperature measurement error problem such as atmospheric radiation,
The precision of unmanned plane infrared survey water surface temperature is substantially increased, is worth with very big social utility.
Summary of the invention
The present invention is directed in view of the deficiencies of the prior art, propose that a kind of infrared water surface of unmanned plane based under mono window algorithm is surveyed
Warm accuracy correcting method.
The technical solution adopted by the present invention to solve the technical problems is: a kind of infrared based on the unmanned plane under mono window algorithm
Water surface temperature measurement accuracy bearing calibration, includes the following steps:
(1) transient measurement of waters water surface temperature is carried out by the thermal infrared imager carried on unmanned plane；
(2) add the optical filter for setting 10.4-12.5um before thermal infrared imager camera lens, to obtain the infrared spoke under the wave band
Penetrate channel；
(3) atmospheric correction models are set up:
Ts={ a (C+D-1)+[b (C+D)+c] Tr-D·Ta}/C
Wherein TsFor water surface inverting temperature, a, b, c is related coefficient, and C=ε τ, ε are water surface emissivity, and τ is that atmosphere is saturating
Cross rate, D=(1- ε) [1+ (1- ε) τ], TrTemperature, T are measured for thermal infrared imageraFor Atmospheric mean temperature；
(4) by parameter C, D, a, b, c, Atmospheric mean temperature T in step (3)aAnd the temperature T that thermal infrared imager obtainsr
It inputs in atmospheric correction models, is finally inversed by water surface temperature TS；
(5) true water surface temperature T is utilized0With the temperature T being finally inversed by step (4)SLinear regression is established, modifies and establishes greatly
The parameter of gas calibration model a, b, c make its inverting TsReach true temperature T0。
Further, the water surface emissivity can be estimated with following formula:
Wherein υ, θ are respectively the incidence angle of water body dielectric constant and thermal infrared imager.
Further, the atmosphere that atmospheric transmittance τ utilizes atmosphere real time temperature t and ground to the height Z of unmanned plane contains
Water w is calculated:
τ=0.974290-0.08007w, w=0.4-1.6
τ=1.031412-0.11536w, w=1.6-3.0, wherein
τ=0.982007-0.09611w, w=0.4-1.6
τ=1.053710-0.14142w, w=1.6-3.0, wherein 18 DEG C of t <.
Further, the computation model of Atmospheric mean temperature is as follows:
Wherein w is the atmospheric water total content of thermal infrared imager height Z on ground to unmanned plane, TzIt is at Z for elevation
Atmospheric temperature, z be from 0 to unmanned plane height Z among real-time height, w (z, Z) represents the atmosphere between z to unmanned plane height Z
Moisture content.
Further, the waters includes reservoir, lake, inshore waters.
Further, the true water surface temperature T0To walk boat by ship and carrying out while unmanned plane thermometric
Actual measurement obtains.
It is surveyed the beneficial effects of the present invention are: bearing calibration provided by the invention can increase substantially current infrared remote
The accuracy of amount temperature solves atmospheric radiative transfer and height distance bring shadow when unmanned plane measurement water surface temperature
It rings, accurate quickly water surface temperature measurement provides huge help to the application of relevant departments' data.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
Invention is further described in detail With reference to embodiment.
Before the thermal infrared imager camera lens of UAV flight plus 10.4-12.5um optical filter is set, it is special infrared to obtain this
Light spectrum channel.The infrared temperature T of acquisition will be measured under the channelrAnd survey calculation water body emissivity ε, atmospheric transmittance
τ, atmospheric water content ω, Atmospheric mean temperature Ta, the input atmospheric correction models such as drone flying height Z, inverting water outlet
Face temperature Ts。
Unmanned plane can use the M600pro type product of great Jiang Creative Technology Ltd. in the present embodiment, but not
It is limited to this；Thermal infrared imager can use the XT2 type product of boundary Creative Technology Ltd., but not limited to this；Infrared filtering
Piece by Nu Mei Science and Technology Ltd. customed product, but not limited to this.
In this example specific implementation step, as shown in Figure 1, first the thermal infrared imager for having set optical filter will be added to be taken by unmanned plane
It is loaded in above target water and carries out thermometric of taking photo by plane according to the course line planned in advance, obtain target thermometric waters temperature TrInformation.
Thermal infrared imager incidence angle θ and water body dielectric constant υ are measured simultaneously, passes through formula:
To calculate acquisition emissivity.Synchro measure atmospheric water content w when flight thermometric
With atmosphere real time temperature t, utilize
τ=0.974290-0.08007w, w=0.4-1.6
τ=1.031412-0.11536w, w=1.6-3.0, wherein
τ=0.982007-0.09611w, w=0.4-1.6
τ=1.053710-0.14142w, w=1.6-3.0, wherein 18 DEG C of t <.
To calculate atmospheric transmittance τ；Atmospheric mean temperature according toModel is estimated
It calculates, wherein w is the atmospheric water total content of thermal infrared imager height Z on ground to unmanned plane, TzFor the big temperature that elevation is at Z
Degree, w (z, Z) represent the atmospheric water vapor content between z to unmanned plane height Z.
After the completion of above- mentioned information, parameter measurement simulation are calculated, the atmospheric correction models of injection simulation foundation.Atmospheric correction
Model is as follows:
Ts={ a (C+D-1)+[b (C+D)+c] Tr-D·Ta}/C,
Wherein C=ε τ, D=(1- ε) [1+ (1- ε) τ], and a, b, c are related coefficient.
The real time temperature measurement that boating type water quality instrument carries out target water corresponding points finally is carried using ship, obtains the true of the water surface
Real temperature T0, by a series of T0It brings atmospheric correction models into and determines corresponding parameter a, b, c using least square method, by the mould
After type is established, in water surface thermometric work later, it is only necessary to which unmanned plane temp measuring system cooperates the temperature correction algorithm formula i.e.
The true temperature of the target water surface can be finally inversed by.
Compared with the work of buoy is launched in traditional ship actual measurement or ship, the UAV system infrared measurement of temperature that developed in recent years
The costs such as time, the economy of temperature measurement are greatly reduced, it is convenient, fast, large area temperature pattern can be obtained in a short time.
But infrared remote, contactless temperature-measuring bring temperature measurement error centainly affect the reliability of data at the same time, and this hair
The temperature measurement correction method of bright offer substantially increases the infrared water surface temperature measurement accuracy of current unmanned plane, and providing for relevant departments can
The water temperature leaned on is worth with very big novelty with definitely social utility.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all utilizations
Equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content is applied directly or indirectly in other correlations
Technical field, be included within the scope of the present invention.
Claims (6)
1. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm, which is characterized in that including as follows
Step:
(1) transient measurement of waters water surface temperature is carried out by the thermal infrared imager carried on unmanned plane；
(2) add the optical filter for setting 10.4-12.5um before thermal infrared imager camera lens, it is logical to obtain the infra-red radiation under the wave band
Road；
(3) atmospheric correction models are set up:
Ts={ a (C+D-1)+[b (C+D)+c] Tr-D·Ta}/C
Wherein TSFor water surface inverting temperature, a, b, c is related coefficient, and C=ε τ, ε are water surface emissivity, and τ is atmospheric transmittance, D
=(1- ε) [1+ (1- ε) τ], TrTemperature, T are measured for thermal infrared imageraFor Atmospheric mean temperature；
(4) by parameter C, D, a, b, c, Atmospheric mean temperature T in step (3)aAnd the temperature T that thermal infrared imager obtainsrInput
In atmospheric correction models, it is finally inversed by water surface temperature Ts；
(5) true water surface temperature T is utilized0With the temperature T being finally inversed by step (4)SLinear regression is established, modifies and establishes atmosphere school
The parameter of positive model a, b, c make its inverting TSReach true temperature T0。
2. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm according to claim 1,
It is characterized in that, the water surface emissivity can be estimated with following formula:
Wherein υ, θ are respectively the incidence angle of water body dielectric constant and thermal infrared imager.
3. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm according to claim 2,
It is characterized in that, atmospheric transmittance τ using the height Z on atmosphere real time temperature t and ground to unmanned plane atmospheric water content w into
Row calculates:
τ=0.974290-0.08007w, w=0.4-1.6
τ=1.031412-0.11536w, w=1.6-3.0, wherein
τ=0.982007-0.09611w, w=0.4-1.6
τ=1.053710-0.14142w, w=1.6-3.0, wherein 18 DEG C of t <.
4. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm according to claim 3,
It is characterized in that, the computation model of Atmospheric mean temperature is as follows:
Wherein w is the atmospheric water total content of thermal infrared imager height Z on ground to unmanned plane, TzFor the big temperature that elevation is at Z
Degree, z be from 0 to unmanned plane height Z among real-time height, the atmospheric water that w (z, Z) is represented between z to unmanned plane height Z contains
Amount.
5. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm according to claim 4,
It is characterized in that, the waters includes reservoir, lake, inshore waters.
6. a kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm according to claim 5,
It is characterized in that, the true water surface temperature T0For while unmanned plane thermometric, walk boat by ship and carry out actual measurement to obtain
?.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910614420.1A CN110375859A (en) | 2019-07-09 | 2019-07-09 | A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910614420.1A CN110375859A (en) | 2019-07-09 | 2019-07-09 | A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110375859A true CN110375859A (en) | 2019-10-25 |
Family
ID=68252538
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910614420.1A Pending CN110375859A (en) | 2019-07-09 | 2019-07-09 | A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110375859A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103203A (en) * | 2011-01-19 | 2011-06-22 | 环境保护部卫星环境应用中心 | Environmental satellite 1-based surface temperature single-window inversion method |
| CN105241429A (en) * | 2015-09-22 | 2016-01-13 | 中国科学院上海技术物理研究所 | Extraction method for offshore industrial warm discharge water based on aerial remote sensing |
-
2019
- 2019-07-09 CN CN201910614420.1A patent/CN110375859A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103203A (en) * | 2011-01-19 | 2011-06-22 | 环境保护部卫星环境应用中心 | Environmental satellite 1-based surface temperature single-window inversion method |
| CN105241429A (en) * | 2015-09-22 | 2016-01-13 | 中国科学院上海技术物理研究所 | Extraction method for offshore industrial warm discharge water based on aerial remote sensing |
Non-Patent Citations (3)
| Title |
|---|
| 覃志豪 等: ""利用Landsat TM6反演地表温度所需地表辐射率参数的估计方法"", 《海洋科学进展》 * |
| 覃志豪 等: ""单窗算法的大气参数估计方法"", 《国土资源遥感》 * |
| 黄妙芬 等: ""HJ-1B/IRS水温反演模型及监测示范"", 《国土资源遥感》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109580003B (en) | Method for estimating near-ground atmospheric temperature by thermal infrared data of stationary meteorological satellite | |
| CN103698305B (en) | A kind of method and system of real-time monitored atmospheric transmissivity | |
| CN102103203A (en) | Environmental satellite 1-based surface temperature single-window inversion method | |
| CN103810387A (en) | Earth face evapotranspiration remote sensing inversion method and system based on MODIS data | |
| Li et al. | Estimation of chlorophyll a concentration using NIR/red bands of MERIS and classification procedure in inland turbid water | |
| CN102650587A (en) | Crop biomass inversion method based on SEBAL-HJ model | |
| CN107449400B (en) | Measuring system and measuring method for forest aboveground biomass | |
| CN109959970B (en) | Sky hemisphere thermal infrared atmospheric downlink radiation ground measurement method | |
| CN105841847A (en) | Method for calculating earth surface latent heat flux | |
| CN115308386B (en) | Soil salinity inversion method and system based on CYGNSS satellite data | |
| CN108009392B (en) | Remote sensing reflectivity model construction and calibration application method for dense vegetation surface | |
| Ragab et al. | Towards accurate estimation of crop water requirement without the crop coefficient Kc: New approach using modern technologies | |
| CN110487408A (en) | A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under Split window algorithms | |
| CN103678884A (en) | Method for dynamic monitoring of actual surface evapotranspiration based on HJ satellite | |
| Sugita et al. | Optimal measurement strategy for surface temperature to determine sensible heat flux from anisothermal vegetation | |
| CN110375859A (en) | A kind of infrared water surface temperature measurement accuracy bearing calibration of unmanned plane based under mono window algorithm | |
| CN105987879A (en) | Coastal river mouth water color parameter inversion apparatus | |
| CN108875237A (en) | Based on the GF-1 and Landsat-8 Crop evapotranspiration hair remote sensing inversion method combined and system | |
| CN105891124A (en) | Water color parameter inversion device and method for near-shore estuary | |
| CN114674461A (en) | Method and device for determining sea surface temperature and readable storage medium | |
| CN105678091B (en) | A kind of method of fast inversion muskeg primary productivity | |
| CN111473868B (en) | Remote infrared temperature measurement method | |
| CN106767766A (en) | A kind of sky based on single neutrality point model polarizes localization method | |
| Xia et al. | Retrieval land surface temperature from visible infrared imager radiometer suite data | |
| Zoran et al. | Impact of climate and anthropogenic changes on a periurban forest surface albedo derived from MODIS satellite data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191025 |