Sentence examples for aperture image from inspiring English sources

leads to the synthetic aperture image f ̂.

Experimental results demonstrate that our algorithm has state-of-the-art performance on public data sets of optical remote-sensing image and synthetic aperture image.

The full aperture image is divided into N × N sub-apertures, each of which has view field of approximate 3 mm × 4 mm.

We use it for depth estimation from two images with different focus settings, for depth estimation from two images with different aperture shapes as well as for depth estimation from a single coded aperture image.

Then, a coherent summation of the individual CS images f ̂ u cs, with u=1,…,Nrx, leads to the synthetic aperture image f ̂ cs of a single-transmitter and multi-receiver system, similar to (22).

For example, this measure has been proposed as essential parts of test statistics, which has seen strongly applied to contexts of radar synthetic aperture image processing in both univariate (Nascimento et al. 2010) and polarimetric (or multivariate) (Nascimento et al. 2014) perspectives.

In this region confocal images are dominated by the strong scattering from the lamina cribrosa and the sclera, and larger confocal aperture images are dominated by scattering within the tissue (resulting in the classic "white" appearance of the optic nerve head and the optic disc crescent for flood illuminated imaging).

With XY-scanning system, the defect information of full aperture can be obtained by stitching the sub-aperture image array, according to the algorithms of template matching.

Therefore, if we compute the correlation coefficient for these range lines between the two sub-aperture images, we obtain small correlation coefficients for range lines including moving objects.

By adding a lenslet array and focusing optics into the optical train of a conventional microscope, we are able to simultaneously capture seven sub-aperture images from different perspectives in a single shot, and finish 3D surface reconstruction of the specimen.

Based on the assumption that the additive noise is subject to a zero-mean Gaussian distribution with unknown variance σ 2 and the signal components corresponding to the dominant scattering centers follow a Laplace distribution with coefficient γ independently, it utilizes the constant-false-alarm-ratio detector to discriminate signal from noise in the sub-aperture images approximately.