XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

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

jance, 1t windows, Mean, aracterization proach”, CD China. 2004. Ganzorig, R. and optical assification", 1, pp. 83-97, extraction of il Journal of on in remote al Journal of CB951503), the Priority Education 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 SPACEBORNE SAR IMAGERY STEREO POSITIONING BASED ON RANGE-COPLANARITY EQUATION C.Q.Cheng® *, J.X Zhang *, G.M.Huang *,C.F.Luo* * Chinese Academy of Surveying and Mapping, Beijing 100039, China-cspring@casm.ac.cn Commission VII KEY WORDS: rigorous positioning, side looking radar, R-Cp equation, exterior orientation elements, SAR ABSTRACT: Stereo positioning is a important content for Spaceborne SAR imagery mapping, which is still lack of investigation depend on exterior orientation elements. In this paper, we firstly introduced the Range-Coplanarity (R-Cp) geometric imaging equation and its character for radar imagery, compared the difference and relationship between R-Cp and R-D model, and build stereo positioning rigorous model for spaceborne SAR imagery based on the R-Cp equation, satellite orbit, and pose refinement model. Then separate taking TerraSAR-X images in mountainous terrain observed from same and opposite side-looking direction as test data, we presented the initial attitude value acquirement method for TerraSAR-X image after moving compensation, analyzed stereo positioning precision according to amounts and spatial distributions of GCPs and lengths of baseline between SAR antennas, and also compared the precision with R-D model. the proposed stereo positioning model avoids SAR signal imaging parameters during the geometric processing, with one GCP it could improved the plan and height precision from (17.9m,29.2m) to (10.3m,6.1m) in the test of opposite side-looking direction images, and even had a better accuracy than R-D model when more GCPs were used, which indicate that R-Cp model have a potential application in spaceborne SAR image stereo positioning. 1. INTRODUCTION The rigorous geometric imaging model of side-looking radar image mainly includes the range doppler equation and sensor exterior orientation elements. Leberl F model proposed by Leberl F (Leberl, 1978, 1990), according to range condition and zero doppler condition, complies with the radar imaging mechanism. The R-D model, with similar mechanism of Leberl F model, takes into account of the non-zero value situation of doppler frequency, and therefore has explicit geometric and physical meaning (Johnsen, et al., 1995). There have two kinds of model based on exterior orientation, the radar collinearity equation-based model(Konecny and Schuhr, 1988), is the extension of the application of collinearity equation in optical remote sensing image. The radar range coplanarity equation(Cheng et al, 2012),build according range condition and radar beam center coplanarity condition. Currently, the SAR image geometric correction under different conditions has been more extensively studied (Lauknes,2004, Johnsen, 1995; Gelautz,1998). The stereo positioning when the 1960s was literature related to (La Prade,1963), However, due to the lack of suitable stereo image data, related research was unable to started, this situation changed when the RADARSAT launched in 1995,and most of SAR image positioning process adopted the R-D model. The stereo positioning research result used the elements of exterior orientation as positioning parameters still very scarce. As the Range-Coplanarity equation use the elements of exterior orientation as a directional parameters, the research of spaceborne SAR stereo * Corresponding author. positioning of sparse control point based on the R-Cp equation is significative. In 2005, China launched the 1:50,000 mapping project in western difficult region where without the topographic map ever before, for example the Hengduan Mountains, Yunnan and Guizhou Plateau are covered by snow or fog all the year round, optical remote sensing images are difficult to separately complete the mapping tasks, coupled with ruggedness terrain in these areas, field surveying of ground control points is very difficult, so mapping with high-resolution SAR images for these specific regions is an important part for the project, also the spaceborne SAR images stereo mapping under the conditions of sparse control point is a key technology for this project. In this case, the paper based R-Cp equation research the TerraSAR-X images stereo positioning models, techniques and methods. 2. THESTEREO POSITIONING MODEL BASED ON R-CP EQUATION 2.1 Introduction of R-Cp geometry imaging model R-Cp geometric imaging equation based on exterior elements is built through two conditions as following and its principle is shown as Fig 1 (Cheng et al, 2012): (DAI ground points corresponding to one line in image and the radar antenna at shoot time are within one center plane of radar beam, which is determined by state vector and attitude of

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