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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663821976
Title:
Technical Commission VII
Scope:
546 Seiten
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663821976
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(39,B7)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
[VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
SPACEBORNE SAR IMAGERY STEREO POSITIONING BASED ON RANGE-COPLANARITY EQUATION C. Q. Cheng, J. X. Zhang, G. M. Huang,C. F. Luo
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • SPACEBORNE SAR IMAGERY STEREO POSITIONING BASED ON RANGE-COPLANARITY EQUATION C. Q. Cheng, J. X. Zhang, G. M. Huang,C. F. Luo
  • TENSOR-BASED QUALITY PREDICTION FOR BUILDING MODEL RECONSTRUCTION FROM LIDAR DATA AND TOPOGRAPHIC MAP B. C. Lin, R. J. You
  • POLINSAR EXPERIMENTS OF MULTI-MODE X-BAND DATA OVER SOUTH AREA OF CHINA Lijun Lu, Qin Yan, MinyanDuan, Yanmei Zhang
  • SIGNAL NOISE REDUCTION BASED ON WAVELET TRANSFORM IN TWO-WAVELENGTH LIDAR SYSTEM Shuo Shi, Wei Gong, Lilei Lv, Bo Zhu, Shalei Song
  • AUTOMATIC EXTRACTION OF WATER IN HIGH-RESOLUTION SAR IMAGES BASED ON MULTI-SCALE LEVEL SET METHOD AND OTSU ALGORITHM H. G. Sui, C. Xu
  • FULL WAVEFORM ACTIVE HYPERSPECTRAL LIDAR T. Hakala, J. Suomalainen, S. Kaasalainen
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

Full text

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
    
  
  
  
  
   
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Range Coplanrity 
equation: equation: 
Ball ; xiv Coplanrity 
=. equation: 
Col/Range 4 ground en 
> e/Arc 
Se imag Range 
ee 3 equation: 
image points circularity 
Range M 
equation: Denier 
Bali equation: ter 
Cone equation: 
hyperbola 
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Fig 2 R-D model and R-Cp model positioning principle 
2.3 Orbit attitude model of spaceborne SAR 
In SAR imaging process, the motion compensation and 
focusing were occurred, so the satellite orbit and attitude data 
were compensated to an ideal state. Therefore, no matter what 
rigorous model, SAR remote sensing image geometry 
processing should use the data that motion compensation 
referenced. As the stability of the satellite in orbit, under normal 
circumstances, when imaging the reference orbit, the speed and 
the actual track, speed is approximately the same. Reference 
attitude is generally constant or uniform changes, in the absence 
of a reference value then the middle or mean value of original 
data could be taken as the initial value, and could get according 
to the Doppler parameter value. 
TerraSAR-X image adopt the O0 value Doppler imaging 
parameters for focus, this means that the beam center planarity 
is perpendicular to the velocity direction in imaging. in this 
paper, according to this conditions to calculate the sensor 
initialization attitude value after SAR imaging motion 
compensation. When the three attitude angles are all zero, the 
beam center plane is perpendicular to the axis Xo vector, when 
the Doppler parameter is 0, the beam center plane is 
perpendicular to the velocity vector. Xo axis and speed 
direction can achieve the coincidence by rotating around the 
Yo-axis of ¢ angle, therefore, when the Doppler parameter is 0, 
equivalent to the three original attitude value is (0,¢,0) . Asa 
result, unit speed vector in geocentric rectangular coordinate 
could also be calculated by a unit vector Xo axis and associated 
rotation matrix , that is: 
[s v x28 Rt o d (en 
[vs v, v.]" is unit speed vector. Based on the formula (6), 
Xo,Yo,Zo,Vx,Vy,Vz is the satellite position and speed state 
vector in ECR coordinate system, the pitch angle ¢, could be 
calculated: 
A --asin (2), VHD), - » HZ), »] d 
As the satellite's orbit and attitude in a certain time with very 
good stability, errors of initial value of orbit and attitude in a 
certain time expressed as systemic, and its orbit error and 
attitude error with low-level polynomial fitting could meet the 
positioning accuracy. For one scene the TerraSAR-X imaging 
track is short, linear polynomial is used as refined model for 
orbit attitude model, namely: 
X, =X ta tat 
Y, =Y,, +b, + bt (8) 
Ze = Zug Cop t6 
9-9 *f,t*ft 
K-Kytgy t gil 
In the formula (8) (X50. Yso. 750: PoKo) are the ephemeris attitude 
initial value, a,b;,c.f;,gi(i=0,1...) are ephemeris and attitude 
refined model parameters. 
2.4 Stereo positioning model of spaceborne SAR 
In order to achieve the high accuracy of the remote sensing 
image positioning the orbital and attitude parameters must be 
refined. Substituted the linear model (8) into formula (4). the 
refined orbit attitude model parameters aj, bacfig: (1,2) and 
the ground point coordinates increment (AX, AY, AZ) as the 
unknowns, coordinates measurement error equation of the 
image point are got through linearized R-Cp equations: 
V. m fug Pus fa infa figno 
+f 8 ful hl a FSF, (0) 
V, m fat foh fo opo og 
+o + habt an Ef +1 FX NY, 
Where, f. are coefficient of error equation about refined orbit 
and attitude model parameters and unknown ground point 
coordinates increment. Ix. [y for the constant term. Based on 
R-Cp geometric imaging model error equations of pixel 
coordinates, ground coordinate, refined model coefficient of 
ephemeris and attitude are got for adjustment model of satellite 
SAR images positioning: 
    
    
   
   
  
   
  
  
  
  
  
    
   
  
   
   
  
   
  
   
   
   
     
   
    
   
      
   
   
    
    
    
   
  
    
   
   
    
    
   
   
    
     
   
   
     
	        

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