Results 1 - 10 of 1,030

Table 2. Subpixel sensitivity.

in Synergies for Design Verification A Self-Correcting Active Pixel Sensor Using Hardware and Software Correction
by Glenn H. Chapman, Sunjaya Djaja, Y. H. Cheung, Yves Audet, Israel Koren, Zahava Koren

Table 4: Estimated regression parameters from measured and modelled Landsat TM3 reflectance for the optimised geometric co-registration. x,y values (m) are displacement from the original x,y position = 0,0.

in A METHOD FOR SNOW-COVER MAPPING OF FORESTS BY OPTICAL REMOTE SENSING
by Dagrun Vikhamar, Rune Solberg
"... In PAGE 7: ... An important result is that all the regression equations are significantly improved when shadows are included in the reflectance model (experiment 2), while including diffuse illumination only gives small changes (experiment 3). The results from the sub-pixel correction of the geometric co-registration showed that displacements of a few meters of the x,y coordinates gave the best R2 values ( Table4 ). However, the regression equations were approximately the same as for the original geometric co-registration (experiment 2 in Table 3).... ..."

Table 1: True and Estimated Values for ( i x; i y), Simultaneous Registration and Restoration

in Reconstruction of a High Resolution Image from Multiple Degraded Mis-Registered Low Resolution Images
by Brian C. Tom, Aggelos K. Katsaggelos 1994
"... In PAGE 6: ... 2. The estimated and true values for the shifts are shown in Table1 . The top four frames of Figure 5 show the restored frames with independent registration and restoration (IRR), while the bottom four frames are those images restored by the SRR approach.... In PAGE 6: ...56 256, is shown in Fig. 6. The next two images in Fig. 7 correspond to the interpolated frames using the IRR and SRR approaches, respectively, going from left to right. In obtaining the SRR image, the true sub-pixel shifts given in Table1 were used. In all of the above experiments, lambda was set to 0.... ..."
Cited by 21

Table 1. Deviation of the Registration Results Depending on the Threshold for the Bone Surface Extraction in the CT Dataset

in Biomedical Paper Registration of 3D CT and Ultrasound Datasets of the Spine using Bone Structures
by B. Brendel, Dipl Ing, S. Winter, A. Rick, Ph. D, M. Stockheim, H. Ermert, Ph. D
"... In PAGE 6: ... The registration with 200 HU was deemed to be a reference registration.18 The maximal deviations of the registration results relative to the reference reg- istration are listed in Table1 . Again, the registra- tion was tested with the complete datasets and with Fig.... ..."

Table 1. Summary statistics for the pre-WLS vs. post-WLS band-to-band shifts accuracy assessment.

in Automated image registration (AIR) of MTI imagery
by Pope And Theiler, P. Pope, J. Theiler
"... In PAGE 10: ...able 1. Summary statistics for the pre-WLS vs. post-WLS band-to-band shifts accuracy assessment. Even though the effect of using the WLS method to quot;optimize quot; the shift values was statistically significant, its functional (practical) significance needs to be addressed. The values in Table1 show that the WLS method was able to consistently reduce the RMSE by a subpixel amount. Since subpixel band-to-band registration is desirable, this technique should prove useful in other studies involving the registration of remotely sensed multispectral imagery.... ..."

Table 1: True and Estimated values for the sub-pixel shifts

in unknown title
by unknown authors 1994
Cited by 21

Table 1: Errors of sub-pixel contours Image Out (%) In (%) Total (%)

in Towards continuous image representations
by Frédéric Labrosse, Philip Willis 2000
"... In PAGE 7: ... We can see that the high curvature parts are still inside the original shape, but much less than in the case of a sharp angle. Table1 gives the errors for the two previous im- ages as well as for the blob image shown on Fig- ure 4. Note that the error for the Y image seems to be more important compared to the others.... ..."
Cited by 1

Table 2. Comparison of sub-pixel shift results to Shekarforoush[1]

in A Unified Approach to FFT Based Image Registration
by A. Averbuch, Y. Keller
"... In PAGE 3: ....3. Comparison to prior results We compare our results to those reported by Shekarforoush et-al by synthesizing the shifted Pentagon image used in [1]. Table2 points out that our algorithm significantly out- performs the results of [1] using either the robust or regular... In PAGE 3: ... Table 2 points out that our algorithm significantly out- performs the results of [1] using either the robust or regular LS. Since we use iterative refinement, Table2... ..."

Table 2. Distribution of registrations. Number of registrations

in Analysis of user behavior from billing records of a CDPD wireless network
by Luc A. Andriantiatsaholiniaina, Ljiljana Trajkovic 2002
"... In PAGE 3: ...54 Total 1,580,236 100.00 Table2 shows the registration statistics and the possible reasons for rejected registrations. We notice a large proportion of suspicious users who ... ..."
Cited by 4

Table 1: Registration Services Registration service Entity

in Configuration Maintenance for Distributed Applications Management
by Hanan Lutfiyya, Andrew D. Marshall, Michael A. Bauer, Patrick Martin, Wendy Powley 1997
Cited by 3
Results 1 - 10 of 1,030