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About 10,000 papers for “spatial resolution”

Spatial uncertainty and spatial resolution

David J. Lasley, Theodore E. Cohn · Annual Meeting Optical Society of America · 1988

An observer’s ability to detect a threshold visual target depends on his knowledge of stimulus parameters, such as the target’s color, and its spatial and temporal locus. Withholding knowledge of the spatial locus of a visual acuity target should depress visual resolution because of the close theoretical relationship between spatial resolving power and contrast sensitivity. We have examined the effects of several spatial target parameters in a visual resolution task where spatial uncertainty was present. Twelve closed E patterns (which resembled rectangular figure eights) were continuously displayed on a video monitor in a 1° diam clockface pattern. The stimulus was a 200-ms removal of the left or right vertical bar that closed the E , and the task of subjects was to identify which. Our results suggest that left and right facing E values are equally detectable. E values on-axis (3, 12, 9, and 6 o’clock positions) were more visible than E values presented off-axis (1, 4, 5, etc. o’clock). Controlling for the factor of position, sensitivity d' for randomly presented E values, in one of twelve loci, was depressed by a factor just less than the square root of the number 12 of stimulus alternatives, which is the prediction of signal detection theory for the ideal observer.

Cited by 0

useful spatial resolution

2024

Citation: 'useful spatial resolution' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.09434 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.

Cited by 0

IBS spatial resolution

Johnson, CD · CERN Document Server (European Organization for Nuclear Research) · 1972

Cited by 0

Spatial resolution. Nomenclature

Raúl A. Vaca, Duncan J. Golicher, Luis Cayuela et al. · 2011

climatically based random forests to downscale coarse-grained potential natural vegetation maps in tropical Mexico

Cited by 0

Spatial resolution Enhancement of Low-Resolution . . .

Sean Borman, Robert Stevenson · 1998

Recent years have seen growing interest in the problem of super-resolution restoration of video sequences. Whereas in the traditional single image restoration problem only a single input image is available for processing, the task of reconstructing super-resolution images from multiple undersampled and degraded images can take advantage of the additional spatiotemporal data available in the image sequence. In particular, camera and scene motion lead to frames in the source video sequence containing similar, but not identical information. The additional information available in these frames make possible reconstruction of visually superior frames at higher resolution than that of the original data. In this paper we review the current state of the art and identify promising directions for future research.

Cited by 0

Factors affecting spatial resolution

Gijs J. O. Vermeer · The Leading Edge · 1998

The theory of spatial resolution has been well-established in various papers dealing with inversion and prestack migration. Nevertheless, there is a continuing flow of papers being published on spatial resolution, in particular in relation to spatial sampling. This poster paper continues the discussion, and deals with various factors affecting spatial resolution.

Cited by 11

Spatial resolution (275 channels).

Elena Boto (3088506), Richard Bowtell (373031), Peter Krüger (3088509) et al. · Figshare · 2016

<p>(A) Minimum distance between the dipole seed and its neighbours for which two sources are separable (defined when temporal correlation between time courses falls below 1/√2) plotted as a function of seed dipole location. Left hand panel shows results for the sSQUID system and right hand panel shows results for the sOPM system. Importantly, the discrete nature of the cortical mesh means that a dipole separation corresponding to a temporal correlation of precisely 1/√2 is not possible. For this reason, the spatial separations in Fig 8A must be given alongside their corresponding temporal correlation values which are shown in (B). The left and right hand panels correspond to sSQUID and sOPM systems respectively. Note smaller spatial separations can be achieved with the sOPM system compared to the sSQUID system (A), especially in the temporal lobe. Note also that in addition to smaller separation, leakage (temporal correlation) is also reduced dramatically (B).</p>

Cited by 0Open access

Particle detector spatial resolution

V. Perez-Mendez · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023

Method and apparatus for producing separated columns of scintillation layer material, for use in detection of X-rays and high energy charged particles with improved spatial resolution. A pattern of ridges or projections is formed on one surface of a substrate layer or in a thin polyimide layer, and the scintillation layer is grown at controlled temperature and growth rate on the ridge-containing material. The scintillation material preferentially forms cylinders or columns, separated by gaps conforming to the pattern of ridges, and these columns direct most of the light produced in the scintillation layer along individual columns for subsequent detection in a photodiode layer. The gaps may be filled with a light-absorbing material to further enhance the spatial resolution of the particle detector.

Cited by 0Open access

Factors affecting spatial resolution

Gijs J. O. Vermeer · Geophysics · 1999

Abstract The theory of spatial resolution has been well-established in various papers dealing with inversion and prestack migration. Nevertheless, there is a continuing flow of papers being published on spatial resolution, in particular in relation to spatial sampling. This paper continues the discussion, and deals with various factors affecting spatial resolution. The theoretical best-possible resolution can be predicted using Beylkin's formula. This formula gives answers on the effect on resolution of frequency, aperture, offset, and acquisition geometry. In this paper, these factors are investigated using a single diffractor in a constant-velocity medium. Some simple resolution formulas are derived for-2-D zero-offset data. These formulas are similar to formulas derived elsewhere in a more heuristic way, and which are in common use in the industry. The formulas are extended to 2-D common-offset data. The width of the spatial wavelet resulting from migration of the diffraction event is compared with the resolution predicted from Beylkin's formula for various 3-D single-fold data sets. The measured widths confirm the theoretical prediction that zero-offset data produce the best possible resolution and 3-D shots the worst, with common-offset gathers and cross-spreads scoring intermediate. The effects of sampling and fold cannot be derived directly from Beylkin's formula; these effects are analyzed by looking at the migration noise rather than at the width of the spatial wavelet. Random coarse sampling may produce somewhat less migration noise than regular coarse sampling, though it cannot be as good as regular dense sampling. The bin-fractionation technique (which achieves finer midpoint sampling without changing the station spacings) does not achieve higher resolution than conventional sampling. Generally speaking, increasing fold does not improve the theoretically best possible resolution. However, as noise always has a detrimental effect on the resolvability of events, fold-by reducing noise-will improve resolution in practice. This also applies to migration noise as a product of coarse sampling.

Cited by 59