CN107316280B - Li Island satellite image RPC model high-precision geometry location method - Google Patents

Li Island satellite image RPC model high-precision geometry location method Download PDF

Info

Publication number
CN107316280B
CN107316280B CN201710373884.9A CN201710373884A CN107316280B CN 107316280 B CN107316280 B CN 107316280B CN 201710373884 A CN201710373884 A CN 201710373884A CN 107316280 B CN107316280 B CN 107316280B
Authority
CN
China
Prior art keywords
model
image
rsm
satellite image
island
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.)
Expired - Fee Related
Application number
CN201710373884.9A
Other languages
Chinese (zh)
Other versions
CN107316280A (en
Inventor
龙腾飞
焦伟利
何国金
张兆明
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.)
Sanya Cas Remote Sensing Institute
Original Assignee
Sanya Cas Remote Sensing Institute
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 Sanya Cas Remote Sensing Institute filed Critical Sanya Cas Remote Sensing Institute
Priority to CN201710373884.9A priority Critical patent/CN107316280B/en
Publication of CN107316280A publication Critical patent/CN107316280A/en
Application granted granted Critical
Publication of CN107316280B publication Critical patent/CN107316280B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/80Geometric correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/02Affine transformations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/75Determining position or orientation of objects or cameras using feature-based methods involving models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • Image Processing (AREA)

Abstract

A kind of high-precision geometry location method of Li Island satellite image RPC model: the mutual conversion between spaceborne optical sensor rigorous geometry model and RPC model is realized, utilize the imaging model of the satellite image of a small amount of control point amendment land part of satellite image and land part with the co-orbital land part of Li Island regional satellite image, and be modified by RPC model of the Orbit extrapolation mode to Li Island regional satellite image, to realize that Li Island satellite image is positioned without the precise geometrical at control point.

Description

Li Island satellite image RPC model high-precision geometry location method
Technical field
The present invention relates to satellite-remote-sensing images in the geometry location for lacking ground control point region, can apply ocean, The remote sensing department such as meteorological, ecological environment and defense military.
Background technique
The precise geometrical positioning of remote sensing image is the basis that remote sensing image is further applied.Remote sensing image is in imaging process It is influenced by various complicated factors, so that it is generated geometry deformation, it is therefore necessary to pass through the ground established in object space coordinate system Millet cake coordinate and its geometrical relationship on image plane between picpointed coordinate determine the geometry location information of image.It is theoretical On, under the support of accurate ground altitude data, image can be restored using the stringent imaging geometry model of satellite remote-sensing image The true geometric position of upper each pixel, to realize the geometry location of image.But due to the error of measurement and spaceborne sensing The presence of other uncertain factors in device imaging process, rigorous geometry model are usually unable to entirely accurate and inerrably restore shadow The geological information of picture, thus the geometric positioning accuracy of satellite image is also restrained, it usually needs by ground control point ability Correct the geometry location error of image.Under conditions of absolutely not ground control data, the autonomous geometry location of satellite image Precision depends on the geometric calibration precision of sensor and the stability and measurement accuracy of Satellite attitude and orbit control system.With The autonomous geometry of the development of satellite borne sensor technology and in-orbit geometric calibration technology, domestic and international spaceborne optical satellite image is fixed Position precision is higher and higher, and wherein GeoEye-1 can reach the precision of 3 meters or so (about 10 pixels).Aspect at home, early stage No. 1 (HJ-1) satellite of environment without control spot placement accuracy, at 1 kilometer or so, but in recent years, progress is significant, high score No.1 (GF- 1) satellite data is without control spot placement accuracy within 50 meters, and No.1 (TH-1) satellite is drawn in resource No. three, day can reach 10 Rice or so (about 5 pixels).But such positioning accuracy is not able to satisfy the needs of practical application still.
China, region island, the South Sea are numerous, and area is small, ground surface type is complicated, strong by human interference, need using high-resolution Rate satellite remote sensing date carries out continuous monitoring.In recent years, No. two satellites of China's sequential transmissions high score No.1 and high score, to Nan Haidao Small island region carries out high frequency time observation, provides image data abundant.The geometry location of image is high resolution ratio satellite remote-sensing island The basis of monitoring, meanwhile, multi-source satellite multidate is observed, and spatial position is also required to keep higher between atural object.Usually obtain compared with High image positioning accuracy needs ground control point data, but field survey distance in island is remote, the period is long, at high cost, it is difficult on the spot Obtain ground control point data.Realize the satellite remote-sensing image precise geometrical for lacking control point position a kind of scheme be strictly at As using a small amount of control point, realizing no control point region in such a way that orbit parameter is extrapolated on the basis of geometrical model Precise geometrical positioning.But the imaging geometry model of existing high-resolution satellite image with rational function model (RFM, also referred to as RPC model) form provide, the extrapolation of orbit parameter can not be carried out.
It is limited in view of the positioning accuracy of the RPC model of high-resolution satellite image, and Li Island localized ground control point is difficult to It obtains, therefore study Li Island satellite image RPC model there is important practical valence without the high-precision geometry location method at control point Value.
Summary of the invention
It is an object of the invention to solve the deficiencies in the prior art, propose a kind of by Orbit extrapolation realization Li Island satellite The method of image RPC model high-precision geometry location.Utilize the satellite with the co-orbital land part of Li Island regional satellite image A small amount of control point of image and land part, so that it may the RPC model of Li Island regional satellite image is modified, to realize The precise geometrical of Li Island satellite image positions.
Technical solution of the invention: a kind of high-precision geometry location method of Li Island satellite image RPC model, it is special Sign is that steps are as follows:
(1) prepare satellite image (the same sensor with the land part of Li Island satellite image same rail to be positioned The data obtained on the same day) and ground control point;
(2) it is directed to the satellite image of Li Island satellite image and land part respectively, according to RPC model RFM1And RFM2Restore Respective rigorous geometry model RSM1And RSM2
(3) the former RPC model RFM of ground dominating pair of vertices land part satellite image is used2Carry out image space affine Transform Model Amendment, and by revised RPC model RFM '2Revert to rigorous geometry model RSM '2
(4) the rigorous geometry model RSM of comparison land part satellite image amendment front and back2With RSM '2, using least square Homing method estimates revised rigorous geometry model RSM '2Each elements of exterior orientation relative to the rigorous geometry model before amendment RSM2Reduction;
(5) reduction of elements of exterior orientation is brought into the rigorous geometry model RSM of Li Island satellite image1, and with strictly at As model RSM '2In direction of visual lines angle alternative model RSM1In direction of visual lines angle, it is modified stringent to obtain Li Island satellite image Imaging model RSM '1
(6) according to rigorous geometry model RSM '1Generate the unrelated RPC model RFM ' of landform1, model RFM '1As Li Island is defended The revised RPC model of star image.
Detailed description of the invention
Fig. 1 is technical solution of the present invention flow chart;
Fig. 2 is Li Island satellite image and co-orbital land part satellite image schematic diagram.
Specific embodiment
The invention proposes a kind of high-precision geometry location methods of Li Island satellite image RPC model, below in conjunction with one The present invention will be described in detail the technical solution of embodiment and attached drawing 1~2.It is several that example provides the extrapolation of Li Island satellite image RPC model rail What localization method, techniqueflow is referring to attached drawing 1.
RPC model is the approximate fits to satellite image rigorous geometry model (RSM, Rigorous Sensor Model), It is a kind of pure mathematics model for lacking physical significance, therefore directly can not carries out Orbit extrapolation using RPC model, it is necessary to first will RPC model reverts to rigorous geometry model.A key technology basis of the invention be exactly rigorous geometry model and RPC model it Between mutual conversion.Wherein rigorous geometry model can be generated by way of establishing 3 dimension virtual controlling grid points landform without RPC model [Tao, C.Vincent and Yong Hu.A Comprehensive Study of the Rational of pass Function Model for Photogrammetric Processing.Photogrammetric Engineering& Remote Sensing, Vol.67, No.12, December 2001, pp.1347-1357.], illustrate below extensive by RPC model The method of multiple rigorous geometry model.
1. rigorous geometry model (RSM model)
The star-loaded optical remote sensing image of mainstream mostly uses greatly linear charge-coupled array (CCD) push-broom type imaging side at present Formula, rigorous geometry model may be expressed as:
Wherein [X, Y, Z]TIt indicates to consolidate the seat in (ECEF) coordinate system in ground heart as the corresponding ground point of planar point (x, y) Mark;[Xsat,Ysat,Zsat]TFor coordinate of the imaging moment satellite projection centre in ECEF coordinate system;M is scale factor; tan(ψx) and tan (ψy) it is respectively angle of the imaging sight in sensor (Sensor) coordinate system with x-axis and y-axis; Indicate sensor coordinate system to the spin matrix between ECEF coordinate system, it by 3 directions rotation angleω and κ is logical (2) formula is crossed to determine:
2. rational function model (RFM model or RPC model)
RPC model may be expressed as:
Wherein l and s be picture point as after the ranks value standardization in plane as a result, (X, Y, Z) is that the object space space of points is sat Mark standardization after as a result,
Nl(X, Y, Z)=a0+a1Z+a2Y+a3X+a4ZY+a5ZX+a6YX+a7Z2+a8Y2+a9X2+a10ZYX+a11Z2Y+a12Z2X +a13ZY2+a14Y2X+a15ZX2+a16YX2a17Z3+a18Y3+a19X3
Dl(X, Y, Z)=b0+b1Z+b2Y+b3X+b4ZY+b5ZX+b6YX+b7Z2+b8Y2+b9X2+b10ZYX+b11Z2Y+b12Z2X +b13ZY2+b14Y2X+b15ZX2+b16YX2b17Z3+b18Y3+b19X3
Ns(X, Y, Z)=c0+c1Z+c2Y+c3X+c4ZY+c5ZX+c6YX+c7Z2+c8Y2+c9X2+c10ZYX+c11Z2Y+c12Z2X +c13ZY2+c14Y2X+c15ZX2+c16YX2c17Z3+c18Y3+c19X3
Ds(X, Y, Z)=d0+d1Z+d2Y+d3X+d4ZY+d5ZX+d6YX+d7Z2+d8Y2+d9X2+d10ZYX+d11Z2Y+d12Z2X +d13ZY2+d14Y2X+d15ZX2+d16YX2d17Z3+d18Y3+d19X3
In formula, ai,bi,ci,di(i=0,1 ..., 19) is RPC parameter, wherein b0And d0Value be 1.
To the standardization formula of image coordinate ranks value are as follows:
Wherein LINE_OFF, LINE_SCALE, SAMP_OFF and SAMP_SCALE are the normalization factor of image coordinate. Line indicates that image row coordinate, Sample indicate the column coordinate of image.
To the standardization formula of ground point are as follows:
Wherein LONG_OFF, LONG_SCALE, LAT_OFF, LAT_SCALE, HEIGHT_OFF, HEIGHT_SCALE are ground Areal coordinate normalization factor.Longitude indicates that the longitude of ground point, Latitude indicate latitude, the Height table of ground point Show the elevation of ground point.
3. restoring RSM model from RPC model
1) restore coordinate of the imaging moment satellite projection centre in ECEF coordinate system
According to (3) formula can by picture point as in plane ranks coordinate l, s and, the elevation Z coordinate of corresponding object space point Calculate the coordinate X and Y of object space point, as shown in (6) formula,
Wherein NX(l,s,Z)、DX(l,s,Z)、NY(l,s,Z)、DY(l, s, Z) is l, the cubic polynomial of s, Z.
For as planar point (l, s), any given 2 height value Z1And Z2, it can calculate separately to obtain 2 according to (6) formula Coordinate [X of the point of object space corresponding to a height value in ECEF coordinate system1,Y1,Z1]T[X2,Y2,Z2]T, and this 2 A object space coordinate and coordinate [X of the imaging moment satellite projection centre in ECEF coordinate systemSat,YSat,ZSat]TTool Just like [Huang WC, Zhang G, the Li D.Robust Approach for Recovery of of relationship shown in (7) formula Rigorous Sensor Model Using Rational Function Model.IEEE Transactions on Geoscience and Remote Sensing.2016Jul;54 (7): 4355-61.],
For certain one scan line k of satellite image, 100 pixels are uniformly chosen, remember that it as plane coordinates is (lk,si), Wherein i=1,2 ..., 100, take elevation Z1=0 and Z2=10000, utilize (6) formula and (7) formula can be true by least-squares estimation Determine coordinate [X of the imaging moment satellite projection centre in ECEF coordinate systemSat,YSat,ZSat]T
2) restore imaging moment sensor coordinate system to the rotation angle between ECEF coordinate system
Given height value is 0, can calculate the corresponding object space point coordinate [X of two endpoint pixels of certain scan line according to (6) formula1, Y1,Z1]T[X2,Y2,Z2]T, sight line vector of two endpoint pixels in ECEF coordinate system can determine according to (8) formula With
Then each reference axis of sensor coordinate system can be calculated in ECEF coordinate system according to (9), (10), (11) formula Direction vector[Huang WC,Zhang G,Li D.Robust Approach for Recovery of Rigorous Sensor Model Using Rational Function Model.IEEE Transactions on Geoscience and Remote Sensing.2016Jul;54 (7): 4355-61.],
Sensor coordinate system is to the rotation angle matrix between ECEF coordinate system,
Finally according to spin matrixIt can further determine that rotation angleω and κ [Slabaugh GG.Computing Euler angles from a rotation matrix.Retrieved on August.1999Aug 6;6(2000):39- 63.]。
3) restore the observation angle of sight of each pixel in sensor coordinate system
To any pixel in Mr. Yu's scan line, its sight in ECEF coordinate system can determine according to (6) formula and (8) formula Survey sight line vectorThen observing vector of the sight in sensor coordinate system is
Then the observation angle of sight of the pixel in sensor coordinate system can be further calculated
In conclusion by XSat、YSat、ZSat、κ、ψxAnd ψyY is the rigorous geometry model that can determine satellite image, Middle XSat、YSat、ZSatω and κ is elements of exterior orientation, ψxAnd ψyFor elements of interior orientation.
4. the extrapolation amendment of Li Island satellite image RPC model
Step 1: preparing satellite image (the same sensing with the land part of Li Island satellite image same rail to be positioned The data that device obtains on the same day) and ground control point, satellite image range and image signal are referring to attached drawing 2;
Step 2: the satellite image of Li Island satellite image and land part is directed to respectively, according to RPC model RFM1And RFM2It is extensive Multiple respective rigorous geometry model RSM1And RSM2
Step 3: using ground control point to the former RPC model RFM of land part satellite image2Carry out image space affine transformation Modifying model
Wherein, l, s, Nl(X,Y,Z)、Dl(X,Y,Z)、Ns(X,Y,Z)、DsIdentical, a is defined in (X, Y, Z) and (3) formula0, a1,a2,b0,b1,b2Parameter is corrected for image space affine transformation;
Then by revised RPC model RFM '2Revert to rigorous geometry model RSM '2
Step 4: the rigorous geometry model RSM of comparison land part satellite image amendment front and back2With RSM '2, using minimum two Multiply homing method and estimates revised rigorous geometry model RSM '2Each elements of exterior orientation relative to the stringent imaging mould before amendment Type RSM2Reduction, i.e. Δ Xsat,ΔYsat,ΔZsatWithΔω,Δκ;
Step 5: by the reduction Δ X of elements of exterior orientationsat,ΔYsat,ΔZsatWithΔ ω, Δ κ bring Li Island satellite into The rigorous geometry model RSM of image1, and with rigorous geometry model RSM '2Direction of visual lines angle ψxAnd ψyAlternative model RSM1In Direction of visual lines angle obtains the modified rigorous geometry model RSM ' of Li Island satellite image1
Step 6: according to rigorous geometry model RSM '1Generate the unrelated RPC model RFM ' of landform1, model RFM '1As from The revised RPC model of island satellite image.

Claims (1)

1. a kind of high-precision geometry location method of Li Island satellite image RPC model, it is characterised in that steps are as follows:
Step 1: preparing the satellite image and ground control point with the land part of Li Island satellite image same rail to be positioned;
Step 2: the satellite image of Li Island satellite image and land part is directed to respectively, according to RPC model RFM1And RFM2Restore each From rigorous geometry model RSM1And RSM2
Step 3: using ground control point to the former RPC model RFM of land part satellite image2Carry out the image space as shown in formula (1) Affine Transform Model amendment, and by revised RPC model RFM '2Revert to rigorous geometry model RSM '2,
In formula, l and s be picture point as after the ranks value standardization in plane as a result, (X, Y, Z) is object space space of points coordinate mark It is after standardization as a result, e0, e1, e2, f0, f1, f2Parameter is corrected for image space affine transformation,
Nl(X, Y, Z)=a0+a1Z+a2Y+a3X+a4ZY+a5ZX+a6YX+a7Z2+a8Y2+a9X2+a10ZYX+a11Z2Y+a12Z2X+ a13ZY2+a14Y2X+a15ZX2+a16YX2+a17Z3+a18Y3+a19X3
Dl(X, Y, Z)=b0+b1Z+b2Y+n3X+b4ZY+b5ZX+b6YX+b7Z2+b8Y2+b9X2+b10ZYX+b11Z2Y+b12Z2X+ b13ZY2+b14Y2X+b15ZX2+b16YX2+b17Z3+b18Y3+b19X3
Ns(X, Y, Z)=c0+c1Z+c2Y+c3X+c4ZY+c5ZX+c6YX+c7Z2+c8Y2+c9X2+c10ZYX+c11Z2Y+c12Z2X+ c13ZY2+c14Y2X+c15ZX2+c16YX2+c17Z3+c18Y3+c19X3
Ds(X, Y, Z)=d0+d1Z+d2Y+d3X+d4ZY+d5ZX+d6YX+d7Z2+d8Y2+d9X2+d10ZYX+d11Z2Y+d12Z2X+ d13ZY2+d14Y2X+d15ZX2+d16YX2+d17Z3+d18Y3+d19X3
Wherein, a0~a19, b0~b19, c0~c19, d0~d19For RPC parameter, b0And d0Value is 1,
Standardization formula to image coordinate ranks value is,
Wherein LINE_OFF, LINE_SCALE, SAMP_OFF and SAMP_SCALE are the normalization factor of image coordinate, Line table Show that image row coordinate, Sample indicate the column coordinate of image,
Standardization formula to ground point is,
Wherein LONG_OFF, LONG_SCALE, LAT_OFF, LAT_SCALE, HEIGHT_OFF, HEIGHT_SCALE are ground seat Normalization factor is marked, Longitude indicates that the longitude of ground point, Latitude indicate that the latitude of ground point, Height indicate ground The elevation of millet cake;
Step 4: the rigorous geometry model RSM of comparison land part satellite image amendment front and back2With RSM '2, returned using least square Method is returned to estimate revised rigorous geometry model RSM '2Each elements of exterior orientation relative to the rigorous geometry model before amendment RSM2Reduction, i.e. imaging moment satellite projection centre coordinate correction amount Δ X in ECEF coordinate systemsat, Δ Ysat, Δ ZsatAnd the reduction of each reference axis of sensor coordinate system rotation angle in ECEF coordinate systemΔ ω, Δ κ;
Step 5: by the reduction Δ X of elements of exterior orientationsat, Δ Ysat, Δ ZsatWithΔ ω, Δ κ bring Li Island satellite image into Rigorous geometry model RSM1, and with rigorous geometry model RSM '2Direction of visual lines angle ψxAnd ψyAlternative model RSM1In sight Deflection obtains the modified rigorous geometry model RSM ' of Li Island satellite image1
Step 6: according to rigorous geometry model RSM '1Generate the unrelated RPC model RFM ' of landform1, model RFM '1As Li Island is defended The revised RPC model of star image.
CN201710373884.9A 2017-05-24 2017-05-24 Li Island satellite image RPC model high-precision geometry location method Expired - Fee Related CN107316280B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710373884.9A CN107316280B (en) 2017-05-24 2017-05-24 Li Island satellite image RPC model high-precision geometry location method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710373884.9A CN107316280B (en) 2017-05-24 2017-05-24 Li Island satellite image RPC model high-precision geometry location method

Publications (2)

Publication Number Publication Date
CN107316280A CN107316280A (en) 2017-11-03
CN107316280B true CN107316280B (en) 2019-10-11

Family

ID=60181566

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710373884.9A Expired - Fee Related CN107316280B (en) 2017-05-24 2017-05-24 Li Island satellite image RPC model high-precision geometry location method

Country Status (1)

Country Link
CN (1) CN107316280B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108335261B (en) * 2018-02-08 2018-11-30 重庆市地理信息中心 A kind of Optical remote satellite orthography garland region automatic testing method
CN108917933B (en) * 2018-04-10 2020-02-14 中国科学院上海技术物理研究所 Geometric positioning method of wide-coverage camera based on ground high-temperature point
CN108919319B (en) * 2018-05-15 2021-01-08 中国人民解放军战略支援部队信息工程大学 Method and system for positioning island reef satellite image without ground control point
CN109506627B (en) * 2018-10-31 2021-05-07 中国资源卫星应用中心 RPC model-based satellite image system error correction method
CN111896009B (en) * 2020-07-17 2022-06-14 武汉大学 Method and system for correcting imaging sight line offset caused by satellite flight motion

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101101674A (en) * 2007-07-23 2008-01-09 武汉大学 RPC model forward transform method
CN102168972A (en) * 2010-12-15 2011-08-31 中国资源卫星应用中心 RPC-based method for improving and calibrating block adjustment of three-linear array three-dimensional satellite
CN104574347A (en) * 2013-10-24 2015-04-29 南京理工大学 On-orbit satellite image geometric positioning accuracy evaluation method on basis of multi-source remote sensing data
CN105698766A (en) * 2016-03-03 2016-06-22 中国测绘科学研究院 Satellite image RFM model block adjustment method with orientation parameter precision information taken into consideration
CN105761228A (en) * 2016-03-09 2016-07-13 中国测绘科学研究院 Method of realizing satellite remote sensing image high precision geometric correction through slightly modifying RPC parameters

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101101674A (en) * 2007-07-23 2008-01-09 武汉大学 RPC model forward transform method
CN102168972A (en) * 2010-12-15 2011-08-31 中国资源卫星应用中心 RPC-based method for improving and calibrating block adjustment of three-linear array three-dimensional satellite
CN104574347A (en) * 2013-10-24 2015-04-29 南京理工大学 On-orbit satellite image geometric positioning accuracy evaluation method on basis of multi-source remote sensing data
CN105698766A (en) * 2016-03-03 2016-06-22 中国测绘科学研究院 Satellite image RFM model block adjustment method with orientation parameter precision information taken into consideration
CN105761228A (en) * 2016-03-09 2016-07-13 中国测绘科学研究院 Method of realizing satellite remote sensing image high precision geometric correction through slightly modifying RPC parameters

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"天绘一号"海岛(礁)影像稀少控制下的定位技术研究;张艳 等;《武汉大学学报 信息科学版》;20160531;第41卷(第5期);第617-623页 *
Robust Approach for Recovery of Rigorous Sensor;Huang WC等;《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》;20160731;第54卷(第7期);第4355-4361页 *

Also Published As

Publication number Publication date
CN107316280A (en) 2017-11-03

Similar Documents

Publication Publication Date Title
CN107316280B (en) Li Island satellite image RPC model high-precision geometry location method
CN103674063B (en) A kind of optical remote sensing camera geometric calibration method in-orbit
CN110388898B (en) Multisource multiple coverage remote sensing image adjustment method for constructing virtual control point constraint
CN102645209B (en) Joint positioning method for spatial points by means of onboard LiDAR point cloud and high resolution images
CN103822629B (en) Positioning system based on multi-directional polarized light navigation sensor and positioning method of positioning system
CN105929398B (en) In conjunction with the InSAR high-accuracy high-resolution DEM acquisition methods of external locus of control
CN108983232B (en) InSAR two-dimensional surface deformation monitoring method based on adjacent rail data
CN102346033B (en) Direct positioning method and system based on satellite observation angle error estimation
CN109242918B (en) Helicopter-borne binocular stereo vision calibration method
CN107144293A (en) A kind of geometric calibration method of video satellite area array cameras
CN106525054B (en) A kind of above pushed away using star is swept single star of remote sensing images information and independently surveys orbit determination method
CN105510913A (en) Heterogeneous optical and SAR remote sensing image combined positioning method based in similar optical image space correction
CN103390102B (en) A kind of calculation method of satellite image solid intersection angle
CN105444778B (en) A kind of star sensor based on imaging geometry inverting is in-orbit to determine appearance error acquisition methods
CN112461224B (en) Magnetometer calibration method based on known attitude angle
CN107870341B (en) Satellite autonomous positioning method based on two landmark point vector information
CN110793542A (en) Area array optical remote sensing satellite in-orbit geometric calibration method based on generalized probe element pointing angle
CN113538595A (en) Method for improving geometric precision of remote sensing stereo image by using laser height measurement data in auxiliary manner
CN110986888A (en) Aerial photography integrated method
Zhao et al. Direct georeferencing of oblique and vertical imagery in different coordinate systems
CN114972078A (en) Method and system for improving uncontrolled geometric quality of domestic optical satellite image by applying SAR image
CN113267794A (en) Antenna phase center correction method and device with base line length constraint
Zhang et al. Bundle block adjustment of weakly connected aerial imagery
CN105571598A (en) Satellite laser altimeter footprint camera pose measuring method
CN103793609A (en) Strict imaging model and positioning method considering satellite fluttering

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
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20191011

CF01 Termination of patent right due to non-payment of annual fee