CN104457985B - A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor - Google Patents

A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor Download PDF

Info

Publication number
CN104457985B
CN104457985B CN201410469988.6A CN201410469988A CN104457985B CN 104457985 B CN104457985 B CN 104457985B CN 201410469988 A CN201410469988 A CN 201410469988A CN 104457985 B CN104457985 B CN 104457985B
Authority
CN
China
Prior art keywords
high light
remote sensor
light spectrum
spectrum image
resolution
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.)
Active
Application number
CN201410469988.6A
Other languages
Chinese (zh)
Other versions
CN104457985A (en
Inventor
张学文
傅俏燕
韩启金
潘志强
刘李
杨磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Center for Resource Satellite Data and Applications CRESDA
Original Assignee
China Center for Resource Satellite Data and Applications CRESDA
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Center for Resource Satellite Data and Applications CRESDA filed Critical China Center for Resource Satellite Data and Applications CRESDA
Priority to CN201410469988.6A priority Critical patent/CN104457985B/en
Publication of CN104457985A publication Critical patent/CN104457985A/en
Application granted granted Critical
Publication of CN104457985B publication Critical patent/CN104457985B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Spectrometry And Color Measurement (AREA)

Abstract

The spectrum calibration method in-orbit of a kind of color dispersion-type high light spectrum image-forming remote sensor, (1) crosses extraction DN value the remote sensing images in place from high light spectrum image-forming remote sensor, and is converted to the entrance pupil spoke brightness of high light spectrum image-forming remote sensor place;(2) simultaneous ground-based measurements spectroscopic data is brought into the simulation of high-resolution atmospheric radiation transmission and calculates ultraspectral resolution entrance pupil spoke brightness;(3) each channel spectrum receptance function under different side-play amount is built according to Laboratory spectral calibration parameter;(4) by ultraspectral resolution entrance pupil spoke brightness channel spectrum receptance function convolution each under different side-play amounts, ultraspectral resolution is down to the spectral resolution of high light spectrum image-forming remote sensor, and spectrally resolved rate curve drops in the ultraspectral obtained under different side-play amount;(5) utilize entrance pupil spoke brightness curve in place in step (1) drop from the ultraspectral under different side-play amounts spectrally resolved rate curve carry out Spectral matching obtain high light spectrum image-forming remote sensor in orbit in center wavelength shift and bandwidth change.

Description

A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor
Technical field
The present invention relates to a kind of place spectrum calibration method in-orbit based on color dispersion-type high light spectrum image-forming remote sensor, particularly to the place spectrum calibration method in-orbit of TG-1 color dispersion-type high light spectrum image-forming remote sensor.
Background technology
High light spectrum image-forming remote sensor can obtain the continuous print curve of spectrum of the various atural objects observed in the ken, and its spectral resolution can reach nanometer scale.The abundant spectral information of its offer, can determine that special spectral signature, it is achieved the fine of atural object identifies and quantitative inversion.
The reliability of high light spectrum image-forming remote sensor data and the degree of depth of application and range depend greatly on spectral calibration precision.Only could extract real object spectrum curve from image through the high light spectrum image-forming remote sensor of spectral calibration.
Spectral calibration mainly includes Laboratory Calibration, onboard process and radiometric calibration site in-orbit.Often utilizing monochromatic remote sensor to carry out spectral calibration in laboratory, calibration precision is the highest.Onboard process is similar with Laboratory Calibration, but a series of equipment of Laboratory Calibration are impossible to indiscriminately imitate to be transplanted on satellite, and must flow through and simplify the purpose reaching calibration, often selects the sun as reference light source.Decay due to onboard process remote sensor device, it is necessary to utilize In-flight calibration method to be corrected.
Summary of the invention
The technology of the present invention solves problem: solve the spectral calibration problem of place in-orbit of color dispersion-type high light spectrum image-forming remote sensor, it is provided that a kind of calibrating method that can accurately obtain high light spectrum image-forming spectrum remote sensor centre wavelength and band.This method utilizes place simultaneous observation in-orbit, carries out high light spectrum image-forming remote sensor spectral calibration in-orbit, it is possible to Simultaneous Inversion center wavelength shift amount and bandwidth variable quantity, is effectively improved spectral calibration precision in-orbit.
The technical solution of the present invention is: the spectrum calibration method in-orbit of a kind of color dispersion-type high light spectrum image-forming remote sensor, and step is as follows:
(1) cross extraction DN value the remote sensing images in place from high light spectrum image-forming remote sensor, and be converted to the entrance pupil spoke brightness of high light spectrum image-forming remote sensor place;
(2) simultaneous ground-based measurements spectroscopic data is brought into the simulation of high-resolution atmospheric radiation transmission and calculates ultraspectral resolution entrance pupil spoke brightness;
(3) each channel spectrum receptance function under different side-play amount is built according to Laboratory spectral calibration parameter;
(4) by ultraspectral resolution entrance pupil spoke brightness channel spectrum receptance function convolution each under different side-play amounts, ultraspectral resolution is down to the spectral resolution of high light spectrum image-forming remote sensor, and spectrally resolved rate curve drops in the ultraspectral obtained under different side-play amount;
(5) utilize entrance pupil spoke brightness curve in place in step (1) drop from the ultraspectral under different side-play amounts spectrally resolved rate curve carry out Spectral matching obtain high light spectrum image-forming remote sensor in orbit in center wavelength shift and bandwidth change.
Each channel spectrum receptance function S in described step (3)i(λ,δ12) it is:
S i ( λ , δ 1 , δ 2 ) = exp [ - ( ( λ - λ c ( i ) - δ 1 ) ( σ i - δ 2 ) / 2 ln 2 ) 2 ]
In formula: λ is wavelength;
λc(i), σiThe centre wavelength of each passage i respectively provided in Laboratory spectral calibration parameter and half-wave width;
δ1, δ2Respectively center wavelength shift amount and bandwidth variable quantity.
Described step (5) is by Spectral matching cost function χ212) solve minima, it is determined that spectral response functions, and then obtain center wavelength shift amount and bandwidth variable quantity, wherein χ212) function is as follows:
χ 2 ( δ 1 , δ 2 ) = Σ j = N 1 N 2 [ s j ( δ 1 , δ 2 ) - s j ] 2
In formula, sj12) it is the ultraspectral resolution entrance pupil spoke brightness resolution decreasing curve of spectrum under different side-play amount;
sjFor the high light spectrum image-forming remote sensor entrance pupil place spectral radiance curve that place is extracted;
N1, N2 be selected characteristic absorption peaks border wave band respectively.
The present invention compared with prior art has the beneficial effect that
(1) present invention utilizes place spectrum measuring data, it is achieved that the spectral calibration in-orbit of color dispersion-type high light spectrum image-forming remote sensor.
(2) the spectral calibration algorithm of the present invention utilizes Spectral matching cost function, improves execution efficiency and the spectral calibration precision of program.
(3) present invention has successfully carried out the spectral calibration of TG-1 high light spectrum image-forming remote sensor, it is possible to effectively monitor the spectral drift problem of color dispersion-type high light spectrum image-forming remote sensor, and high-spectrum remote-sensing application is had great importance.
Accompanying drawing explanation
Fig. 1 is the inventive method flow chart.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is elaborated, as it is shown in figure 1, specifically comprise the following steps that
(1) high light spectrum image-forming remote sensor place Apparent radiance calculates
Radiation calibration coefficient according to high light spectrum image-forming remote sensor, obtains Apparent radiance during high light spectrum image-forming remote sensor interlude overhead, ground by formula (1).
Li(λ)=Gaini×DNi+offseti(1)
In formula: Li(λ) for the spoke brightness of high light spectrum image-forming remote sensor respective channel;
DNiFor the count value of respective channel on high light spectrum image-forming remote sensor interlude ground image;
Gaini、offsetiThe respectively gain of the radiation calibration coefficient of high light spectrum image-forming remote sensor respective channel and skew.
(2) ultraspectral resolution entrance pupil spoke brightness calculation
According to the atmospheric radiative transfer equation that the sun-air-earth's surface interacts, utilize place synchro measure data, according to high-resolution atmospheric radiation transmission, obtain ultraspectral resolution Apparent radiance by formula (2) simulation.
L TOA ( λ ) = L 0 ( λ ) + ρT ( μ ) 1 - Sρ E d π - - - ( 2 )
In formula: LTOA(λ) it is the spectral radiance of high light spectrum image-forming remote sensor;
L0(λ) be atmospheric path radiation produce spectral radiance;
fB(λ) for the spectral response functions of domestic multispectral load respective channel;
ρ is the spectral reflectivity in place;
S is the hemisphere albedo that air is downward;
T (μ) is total transmitance that Top Of Atmosphere is arrived on earth's surface;
EdIt is the incident radiation total on earth's surface when ρ=0.
(3) structure of spectral response functions under different side-play amounts
According to color dispersion-type high light spectrum image-forming remote sensor, under different side-play amounts, the available formula (3) of spectral response functions builds.
S i ( λ , δ 1 , δ 2 ) = exp [ - ( ( λ - λ c ( i ) - δ 1 ) ( σ i - δ 2 ) / 2 ln 2 ) 2 ] - - - ( 3 )
In formula: λ is wavelength;
Si(λ,δ12) it is the spectral response functions under different side-play amount;
λc(i), σiThe centre wavelength of each passage respectively provided in Laboratory spectral calibration parameter and half-wave width;
δ1, δ2Respectively center wavelength shift amount and bandwidth variable quantity.
(4) by ultraspectral resolution entrance pupil spoke brightness and each channel spectrum receptance function convolution, ultraspectral entrance pupil spoke brightness is down to the spectral resolution of high light spectrum image-forming remote sensor;
(5) Spectral matching
Near Atmospheric Absorption peak wave band carry out Spectral matching adopt formula (4) be calculated, to function χ212) solve minima, obtain spectral calibration parameter (center wavelength shift amount and bandwidth variable quantity): when Spectral matching cost function reaches minima, spectral response functions is just uniquely determined, i.e. δ1、δ2Determine.The process minimized is actually and constantly adjusts δ1、δ2, so that Spectral matching cost function reaches minima.
χ 2 ( δ 1 , δ 2 ) = Σ j = N 1 N 2 [ s j ( δ 1 , δ 2 ) - s j ] 2 - - - ( 4 )
In formula: χ212) Spectral matching cost function;
sj12) it is the ultraspectral entrance pupil spoke brightness resolution decreasing curve of spectrum under different side-play amount, the curve namely obtained after step (4) process of convolution;
sjFor place extract high light spectrum image-forming remote sensor entrance pupil place spectral radiance curve, step (1) result obtain;
N1, N2 are distinguished as selected characteristic absorption peaks border wave band.
The present invention is unspecified partly belongs to general knowledge as well known to those skilled in the art.

Claims (3)

1. the spectrum calibration method in-orbit of a color dispersion-type high light spectrum image-forming remote sensor, it is characterised in that step is as follows:
(1) cross extraction DN value the remote sensing images in place from high light spectrum image-forming remote sensor, and be converted to the entrance pupil spoke brightness of high light spectrum image-forming remote sensor place, and then obtain place entrance pupil spoke brightness curve;
(2) simultaneous ground-based measurements spectroscopic data is brought into the simulation of high-resolution atmospheric radiation transmission and calculates ultraspectral resolution entrance pupil spoke brightness;
(3) each channel spectrum receptance function under different side-play amount is built according to Laboratory spectral calibration parameter;
(4) by ultraspectral resolution entrance pupil spoke brightness channel spectrum receptance function convolution each under different side-play amounts, ultraspectral resolution is down to the spectral resolution of high light spectrum image-forming remote sensor, and spectrally resolved rate curve drops in the ultraspectral obtained under different side-play amount;
(5) utilize entrance pupil spoke brightness curve in place in step (1) drop from the ultraspectral under the different side-play amounts in step (4) spectrally resolved rate curve carry out Spectral matching obtain high light spectrum image-forming remote sensor in orbit in center wavelength shift and bandwidth change.
2. the spectrum calibration method in-orbit of a kind of color dispersion-type high light spectrum image-forming remote sensor according to claim 1, it is characterised in that: each channel spectrum receptance function S in described step (3)i(λ,δ12) it is:
S i ( λ , δ 1 , δ 2 ) = exp [ - ( ( λ - λ c ( i ) - δ 1 ) ( σ i - δ 2 ) / 2 l n 2 ) 2 ]
In formula: λ is wavelength;
λc(i), σiThe centre wavelength of each passage i respectively provided in Laboratory spectral calibration parameter and half-wave width;
δ1, δ2Respectively center wavelength shift amount and bandwidth variable quantity.
3. the spectrum calibration method in-orbit of a kind of color dispersion-type high light spectrum image-forming remote sensor according to claim 1, it is characterised in that: described step (5) is by Spectral matching cost function χ212) solve minima, it is determined that spectral response functions, and then obtain center wavelength shift amount and bandwidth variable quantity, wherein χ212) function is as follows:
χ 2 ( δ 1 , δ 2 ) = Σ j = N 1 N 2 [ s j ( δ 1 , δ 2 ) - s j ] 2
In formula, sj12) it is the ultraspectral resolution entrance pupil spoke brightness resolution decreasing curve of spectrum under different side-play amount;
sjFor the high light spectrum image-forming remote sensor entrance pupil place spectral radiance curve that place is extracted;
N1, N2 be selected characteristic absorption peaks border wave band respectively.
CN201410469988.6A 2014-09-15 2014-09-15 A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor Active CN104457985B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410469988.6A CN104457985B (en) 2014-09-15 2014-09-15 A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410469988.6A CN104457985B (en) 2014-09-15 2014-09-15 A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor

Publications (2)

Publication Number Publication Date
CN104457985A CN104457985A (en) 2015-03-25
CN104457985B true CN104457985B (en) 2016-06-29

Family

ID=52904408

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410469988.6A Active CN104457985B (en) 2014-09-15 2014-09-15 A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor

Country Status (1)

Country Link
CN (1) CN104457985B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104914424B (en) * 2015-05-12 2017-08-08 中国科学院遥感与数字地球研究所 The method of the in-orbit EO-1 hyperion sensor radiation of Simultaneous Inversion and spectral calibration parameter
CN105528580B (en) * 2015-12-04 2019-02-12 杭州电子科技大学 A kind of EO-1 hyperion Curve Matching method based on absorption peak feature
CN106568508B (en) * 2016-11-11 2020-12-25 中国科学院合肥物质科学研究院 Registration method for correcting wavelength drift of satellite hyperspectral data
CN109269643B (en) * 2018-11-02 2021-05-11 天津津航技术物理研究所 Spectrum demodulation system and method based on mobile device screen light source
CN111220557B (en) * 2019-11-21 2022-08-23 中国科学院合肥物质科学研究院 Full-field solar reference spectrum acquisition method of hyperspectral large-field imaging spectrometer
CN110988908B (en) * 2019-12-19 2023-06-09 长光卫星技术股份有限公司 Quantitative analysis method for imaging influence of spectral shift of optical filter on space optical remote sensor
CN117168619B (en) * 2023-11-02 2024-02-02 武汉大学 Spectrum calibration method and system for satellite-borne hyperspectral imager

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102346070A (en) * 2010-07-30 2012-02-08 中国科学院遥感应用研究所 HJ-1A satellite hyper-spectral imaging instrument orbit radiation scaling method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102346070A (en) * 2010-07-30 2012-02-08 中国科学院遥感应用研究所 HJ-1A satellite hyper-spectral imaging instrument orbit radiation scaling method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Hyperion On-Orbit Validation of Spectral Calibration using Atmospheric Lines and an On-board System;P.S.Barry etc.;《Imaging Spectrometry VII》;20021231;第4480卷;全文 *
Hyperion, a Space-Based Imaging Spectrometer;Jay S. Pearlman etc.;《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》;20030630;第41卷(第6期);全文 *
超光谱成像仪在轨辐射定标及不确定性分析;高海亮等;《光子学报》;20091130;第38卷(第11期);全文 *
超光谱成像仪的精细光谱定标;郑玉权;《光学 精密工程》;20101130;全文 *

Also Published As

Publication number Publication date
CN104457985A (en) 2015-03-25

Similar Documents

Publication Publication Date Title
CN104457985B (en) A kind of in-orbit spectrum calibration method of color dispersion-type high light spectrum image-forming remote sensor
Coll et al. Temperature and emissivity separation from ASTER data for low spectral contrast surfaces
Guanter et al. Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence
CN112051222A (en) River and lake water quality monitoring method based on high-resolution satellite image
CN106569186B (en) A kind of deviation correction method of satellite-borne microwave radiometer
CN103792009B (en) The Calibration of Infrared Radiation of ground large aperture telescope
Wang et al. Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV
CN101629850A (en) Method for inversing land surface temperature from MODIS data
CN104880702A (en) Method and device for on-orbit absolute radiation calibration
CN102749138B (en) Spectrum calibration method based on sun and atmosphere characteristic spectrum in hyperspectral remote sensor flight
CN106017678B (en) A kind of in-orbit spectrum calibration method of thermal infrared high-spectrum remote sensing data
CN106248601A (en) A kind of OLI of utilization data estimation water body overflows the model method of attenuation quotient
Gao et al. HJ-1A HSI on-orbit radiometric calibration and validation research
CN102346070A (en) HJ-1A satellite hyper-spectral imaging instrument orbit radiation scaling method
CN105137506B (en) Method for estimating ground surface temperature daily range based on MSG2-SEVIRI data
CN104133204B (en) A kind of separation round the clock vicarious calibration method of high score satellite wide visual field imager
CN108120510A (en) A kind of in-orbit absolute radiation calibration method of optical sensor based on reflection mirror array
CN104360351A (en) Remote sensing data-based high-precision agricultural region ground surface temperature retrieval method
Cao et al. Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing
CN104914424B (en) The method of the in-orbit EO-1 hyperion sensor radiation of Simultaneous Inversion and spectral calibration parameter
CN104237869A (en) Multi-spectral load site-free cross calibration method based on hyperspectral loads
Noël et al. Preliminary results of GOME-2 water vapour retrievals and first applications in polar regions
Lee et al. Radiometric characteristics of Geostationary Ocean Color Imager (GOCI) for land applications
Hu et al. Estimating the effective wavelength of the thermal band for accurate brightness temperature retrieval: methods and comparison
CN110702228B (en) Edge radiation correction method for aviation hyperspectral image

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant