Two-Dimensional Tomographs Using Range Measurements

Flexible algebraic technique for multiview reconstruction: incremental learning in reflective tomography

“…Reflective tomography emerged at the end of the 80's. 1,2 The initial method computes a tomographic reconstruction from reflective projections obtained with laser radars, such as rangeresolved data. The reconstruction solver operates an X-ray inversion, despite the wavelengths are much larger than the X-ray wavelengths.…”

<title>Imaging with heterodyne laser radar and reflection tomography</title>

“…The relationship is called the projection-slice theorem and is given by j: (v1 ) = G(v1 cos 6, v1 sin 8). (2)(3) In words, the Fourier transform ofthe projection at angle 6 is equal to the Fourier transform ofg(xi, x2) evaluated along a line through the origin oriented in the same manner in the (u1, u2) plane as the projection is in the (x1, x2) plane. Thus, we can get samples of G(u1, u2) from a projection ofg(xi, x2).…”

Application of Image Fusion Algorithm Combined with Visual Saliency in Target Extraction of Reflective Tomography Lidar Image

“…Knight et al [3] further improved the Lidar experimental system by using streak cameras to increase the bandwidth of the detection circuit so as to improve the imaging resolution. In addition, abundant indoor imaging experiments have been carried out to verify the application prospect of LRT [4][5][6]. On this basis, Maston et al [7] conducted a deep study of the theory of LRT and applied it to the imaging detection of space targets, such as satellites [8][9][10]; they also obtained reconstruction images of the satellite from a ground base Lidar system [11,12].…”