A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

Xu, Dan; Xing, Mengdao; Xia, Xiang-Gen; Sun, Guang-Cai; Fu, Jixiang; Su, Tao

doi:10.3390/rs11111277

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…However, since most of these patients are stage I A2-II A2 with or without lymph node metastasis according to the 2009 FIGO stage, most of the previous treatment will choose surgery. Therefore, for stage III C: patients with cervical cancer (stage I B1-II A2 in 2009 FIGO stage), surgery pathological staging (pelvic lymphadenectomy + paraaortic lymphadenectomy and sampling) can be performed before concurrent radiotherapy and chemotherapy [ 15 ].…”

Section: Experimental Analysismentioning

confidence: 99%

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Sun¹,

Wang²,

Chen³

2022

Scanning

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In order to study the application value of CT three-dimensional microscope reconstruction technology in the diagnosis of cervical cancer. In this paper, 232 patients with newly diagnosed stage IA-II A2 and some stage III C: cervical cancer (stage IB1-IIA2 of stage f go in 2009) were selected, and 204 patients with stage IB1-IIA2 of stage 2009 fig 0 were selected. The original data of DICOM were obtained by CT scanning and imported into mics10.01 software to complete lymph node reconstruction. The short diameter value > 10 mm is used as the standard to judge whether the lymph node is metastatic. Referring to the 2018fig 0 staging standard, if it indicates that the lymph node is positive, it is IIICr stage. The gold standard is the diagnosis of III CP according to the surgical and pathological results, and then the diagnostic efficiency of III C stage is evaluated. The experimental results showed that 65 cases were diagnosed as IIIC stage, and 70 cases were diagnosed as IIICp stage. There was consistency between IIICr and IIICp stage, and the kappa value was 0.340. Using CT multiphase enhanced scanning and three-dimensional reconstruction technology to diagnose cervical cancer has high detection rate and high accuracy of staging diagnosis, which is worthy of clinical application.

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Section: Experimental Analysismentioning

confidence: 99%

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Sun¹,

Wang²,

Chen³

2022

Scanning

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“…is the transformation matrix from ROCS to the ECI system and H E2O is the transformation matrix from the ECI system to OCS [37]. By transforming the LOS into an orbital coordinate system, the projection vectors caused by the relative motion between the radar and SRST can be obtained via Equation (16) and Equation (17). After that, in order to construct the exact projection vectors from 3D geometry to the ISAR image sequence, accurate rotational parameters should be estimated first and the detailed procedure will be introduced in Section 2.2.4.…”

Section: Constructing Projection Vectorsmentioning

confidence: 99%

“…According to the number of sensors in the imaging system, the existing 3D geometry reconstruction methods can be categorized into two classes: (a) 3D ISAR imaging methods based on multi-static radar system [15][16][17][18], and (b) structure-from-motion (SFM)-based 3D geometry reconstruction methods utilizing monostatic radar [19][20][21][22]. In the first class of methods, the 3D interferometric ISAR (InISAR) imaging technique has been widely developed.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence

Zhou

Liu

et al. 2022

Remote Sensing

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For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry reconstruction methods become invalid as the projection vectors cannot be formed without accurate target rotational parameters. To tackle this problem, we present a new technique for 3D geometry reconstruction by using inverse synthetic aperture radar (ISAR) image sequence energy accumulation (ISEA). Firstly, by constituting the motion model of SRST, an explicit expression is derived to describe the relative geometric relationship between the 3D geometry and ISAR image sequence. Then accurate rotational parameters and the 3D geometry of SRST can be estimated by combining the idea of the ISEA method and quantum-behaved particle swarm optimization (QPSO). Compared with the ISEA method, which can be only applied to triaxial stabilized space targets, the proposed method can achieve 3D geometry reconstruction of SRST. Experimental results based on the simulated point model and simulated electromagnetic computer aided design (CAD) model validate the effectiveness and robustness of the proposed method.

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Space Target 3-D Reconstruction Using Votes Accumulation Method of ISAR Image Sequence

Xu,

Wang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Combining inverse projection and vote accumulation methods, we propose a novel 3D geometric reconstruction method based on inverse synthetic aperture radar (ISAR) image sequence for triaxially stabilized spatial targets. Considering that the translation of a triaxially stabilized spatial target results in a large angular rotation of the radar line of sight (LOS) and an attitude adjustment rotation of the target itself, the projection relationship between radar imaging plane and a triaxially stabilized spatial target is constructed first. Subsequently, we perform an inverse projection on the dominant points extracted from each imaging plane to determine the location of the 3D candidate scatterers and assign a voting value of 1 to each position. By accumulating these vote values, we can obtain the total number of votes for the candidate scatterer position. We treat candidate 3D scatterers with a large cumulative number of votes as actual scatterers. Thus, the target 3D geometry can be obtained. Compared to traditional matrix factorization based 3D reconstruction methods, this method is more accurate and ensures that the target pose is consistent with the actual pose. At the same time, compared with 3D reconstruction methods based on energy accumulation ideas, this method produces fewer false scatterers and has higher credibility. Experimental results based on the simulated point target and electromagnetic data are presented to validate the effectiveness and robustness of the proposed method.

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A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

Cited by 7 publications

References 35 publications

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer

Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence

Space Target 3-D Reconstruction Using Votes Accumulation Method of ISAR Image Sequence

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