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Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation

John Hogland, David L.R. Affleck
2019 Remote Sensing  
Additionally, in this study we evaluate spatial aggregation as a mechanism to minimize the impact of co-registration errors, assess the impact of subsampling within the extent of sample units, and provide  ...  Through simulations, our findings indicate that the spatial correlation of response and predictor variables and their corresponding spatial registration (co-registration) errors can have a substantial  ...  Acknowledgments: We would like to thank the independent reviewers for their comments and suggestions. Their advice has helped to improve the quality of this manuscript.  ... 
doi:10.3390/rs11030222 fatcat:taco7sqrh5hllmigid23jlnjwe

Spatially Quantifying Forest Loss at Landscape-scale Following a Major Storm Event

Joseph St. Peter, Chad Anderson, Jason Drake, Paul Medley
2020 Remote Sensing  
Our results validate a novel method to create a landscape scale spatial dataset showing the location and intensity of basal area loss at 10-m spatial resolution which can be used for quantifying forest  ...  In this study, we use Sentinel-2 imagery and 248 forest plots collected prior to landfall in 2018 in the forests impacted by Hurricane Michael to build a general linear model of tree basal area across  ...  This can be mitigated by using spatial data with smaller absolute registration errors and spatial aggregation.  ... 
doi:10.3390/rs12071138 fatcat:q2j5b5zbx5dttot6cndjfo657a

The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions

B. Tan, C.E. Woodcock, J. Hu, P. Zhang, M. Ozdogan, D. Huang, W. Yang, Y. Knyazikhin, R.B. Myneni
2006 Remote Sensing of Environment  
Gridding artifacts between observations and predefined grid cells strongly influence the local spatial properties of MODIS images.  ...  The band-to-band registration for the different spatial resolutions of gridded MODIS data can be poor if the different resolutions of data are gridded before aggregation.  ...  Acknowledgements The authors thank Robert E. Wolfe and Eric F.  ... 
doi:10.1016/j.rse.2006.06.008 fatcat:7lpgkwsvebc4dc4vj2imsjv5gi

Estimating Forest Characteristics for Longleaf Pine Restoration Using Normalized Remotely Sensed Imagery in Florida USA

John Hogland, David L.R. Affleck, Nathaniel Anderson, Carl Seielstad, Solomon Dobrowski, Jon Graham, Robert Smith
2020 Forests  
models from such data, applying new image normalization procedures to bring images of varying spatial resolutions to a common radiometric scale, and implementing an ensemble generalized additive modeling  ...  Unfortunately, ground-based information that accurately describes the complex spatial and contextual nature of forests across broad landscapes is cost prohibitive to collect.  ...  Conflicts of Interest: The authors declare no conflict of interest. Forests 2020, 11, 426  ... 
doi:10.3390/f11040426 fatcat:hsgswwrumnhhbbwfagkrs2krjm

Assessing the Impact of Land Cover Changes on Surface Urban Heat Islands with High-Spatial-Resolution Imagery on a Local Scale: Workflow and Case Study

Peng Ren, Xinxin Zhang, Haoyan Liang, Qinglin Meng
2019 Sustainability  
Finally, the commonly-used indexes in the field of satellites are applied to analyzing the spatial and temporal changes in the SUHI pattern on a local scale.  ...  In this study, a workflow is presented to assess the LC's impact on SUHI, based on the visible and thermal infrared images with high spatial resolution captured by an unmanned airship in the central area  ...  The co-registration error and the root mean square error (RMSE) of each map are summarized in Table 3 .  ... 
doi:10.3390/su11195188 fatcat:f2hddyr6kve27jscljclpazz3e

Adaptive synthetic vision

Simon J. Julier, Dennis Brown, Mark A. Livingston, Justin Thomas, Jacques G. Verly, Jeff J. Guell
2006 Enhanced and Synthetic Vision 2006  
Given knowledge of the extrinsic and intrinsic parameters of the camera, synthetic vision superimposes spatially-registered computer graphics over the video feed from the UAV.  ...  The first component automatically calculates registration error based on information about the uncertainty in the camera parameters.  ...  ACKNOWLEDGMENTS The authors would like to thank Enylton Coelho (now at Bosch) and Blair MacIntyre at Georgia Tech for developing the OSGAR framework used to implement the adaptive registration system.  ... 
doi:10.1117/12.666033 fatcat:pflzgdody5c3rjeayq4njjvlqi

Handheld Augmented Reality

Thomas Vincent, Laurence Nigay, Takeshi Kurata
2013 Proceedings of the 25th ICME conference francophone on l'Interaction Homme-Machine - IHM '13  
Results indicate that relative pointing in the frame of the physical object is less error prone and is less subject to registration jitter than screencentered crosshair pointing.  ...  It is therefore important to study the impact of registration jitter on interaction and in particular on pointing at augmented objects where precision may be required.  ...  ACKNOWLEDGEMENTS Special thanks to the students who participated in the experiment. This work has been supported by the ANR/JST AMIE project (http://amie.imag.fr). BIBLIOGRAPHIE  ... 
doi:10.1145/2534903.2534905 dblp:conf/ihm/VincentNK13 fatcat:4gsxj7lhm5dwjlg7afpdvismei

A fully automatic technique for precise localization and quantification of Amyloid-β PET scans

Mouna Tahmi, Wassim Bou-Zeid, Qolamreza Ray Razlighi
2019 Journal of Nuclear Medicine  
Spatial heterogeneity in the accumulation of amyloid-β plaques throughout the brain during asymptomatic as well as clinical stages of Alzheimer disease calls for precise localization and quantification  ...  Methods: An intermodal and intrasubject registration with normalized mutual information as the cost function was used to transform all FreeSurfer neuroanatomic labels into PET image space, which were subsequently  ...  The combination of the transformations and warping field was then applied to the PET image, generating a spatially normalized PET image in MNI template space, as well as a spatially normalized whole-brain  ... 
doi:10.2967/jnumed.119.228510 pmid:31171596 pmcid:PMC6894379 fatcat:ad43nmfrqzfzthwk7u6i43v6du

Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy [article]

Jeffrey A Mulligan, Xinzeng Feng, Steven G Adie
2018 bioRxiv   pre-print
Due to the reliance of TF-OCM on computational imaging methods, we have provided extensive discussion of the underlying equations, assumptions, and failure modes of these methods.  ...  We applied TF-OCM to quantify CTFs exerted by isolated NIH-3T3 fibroblasts embedded in Matrigel, with five-minute temporal sampling, using images which spanned a 500x500x500 μm3 field-of-view.  ...  High concentrations of beads allow for substrate deformations to be sampled more densely in 293 space, and therefore can help to mitigate the impact of error/measurement noise.  ... 
doi:10.1101/444240 fatcat:3mcgsm2lj5flfiqpwm7gttaxw4

Using Tree Detection Based on Airborne Laser Scanning to Improve Forest Inventory Considering Edge Effects and the Co-Registration Factor

Pascual
2019 Remote Sensing  
The impact of co-registration errors in the models was clear in the ABA, while the effect was minor and mitigated under EABA.  ...  The relative mean improvement of EABA in terms of root mean squared error was 15.2%, 17.3%, and 7.2% for growing stock volume, stand basal area, and dominant height, respectively.  ...  Petteri Packalen for his valuable insights on the EABA methodology, and Susete Marques for the support during the last months of the manuscript edition.  ... 
doi:10.3390/rs11222675 fatcat:c2w4daxx7rdzbcrvbe32mngwvq

A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis

Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Eli Gibson, John-Michael Arpino, Hao Yin, Aaron D. Ward, Andrew H. Beck
2015 PLoS ONE  
through the stack of sections).  ...  Target registration errors were measured between adjacent tissue sections (pairwise error), as well as with respect to a 3D reference reconstruction (accumulated error, to capture propagation of error  ...  Trevor Shepherd, Department of Obstetrics & Gynecology, The University of Western Ontario: for the use of the ScanScope CS (Aperio Technologies, Vista, CA, USA). Author Contributions  ... 
doi:10.1371/journal.pone.0126817 pmid:26024221 pmcid:PMC4449209 fatcat:rfu3dkhfvfbxnd6tvv643xv5yu

Use of WorldView-2 Along-Track Stereo Imagery to Probe a Baltic Sea Algal Spiral

George Marmorino, Wei Chen
2019 Remote Sensing  
Because such image data generally have a much lower dynamic range than in land applications, the impact of residual instrument noise (e.g., data striping) is more severe and requires attention; we use  ...  signatures into the velocity field.  ...  Acknowledgments: Data from the FINO-2 platform were provided courtesy of the BMWi (Bundesministerium fuer Wirtschaft und Energie, Federal Ministry for Economic Affairs and Energy) and the PTJ (Projekttraeger  ... 
doi:10.3390/rs11070865 fatcat:gyz23ojlx5bz5pee6ccifutz7y

Quantifying Variability in Longitudinal Peripapillary RNFL and Choroidal Layer Thickness Using Surface Based Registration of OCT Images

Sieun Lee, Morgan Heisler, Paul J. Mackenzie, Marinko V. Sarunic, Mirza Faisal Beg
2017 Translational Vision Science & Technology  
For each eye, the layer surfaces of eight follow-up images were registered to those of the baseline image, first by rigid alignment using blood vessel projections and axial height and tilt correction,  ...  Using the registration-based approach presented in this study, longitudinal changes in retinal and choroidal layers can be detected with higher sensitivity and spatial precision.  ...  This mitigates the effect of large machine-errors in the segmentation, but it may introduce additional human errors.  ... 
doi:10.1167/tvst.6.1.11 pmid:28275526 pmcid:PMC5338475 fatcat:cmgkajruqnefhbakfxmzkbh34u

Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds [article]

Lingjing Wang, Yi Shi, Xiang Li, Yi Fang
2020 arXiv   pre-print
Our key novelty is that we introduce a deep Spatio-Temporal REPresentation (STREP) feature, which describes the geometric essence of both temporal and spatial relationship of the sequence of point clouds  ...  to a temporally and spatially continuous sequence of geometric transformations to globally align multiple point clouds.  ...  This mechanism enables global temporal information sharing which mitigates the sequential impact of pair-wise error mentioned earlier.  ... 
arXiv:2006.12378v1 fatcat:5bkc4oixirfs7mddebcvn7jdg4

Deep Feature based Cross-slide Registration [article]

Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir Rajpoot
2022 arXiv   pre-print
We compared the performance of data-driven features with that of hand-crafted features on the COMET dataset. Our approach can align the images with low registration errors.  ...  Generally, the success of non-rigid registration is dependent on the quality of rigid registration.  ...  Overall registration error for T is computed by either taking mean or median of the aggregated rTRE, namely as the median of median rTRE (MMrTRE) and the average of median rTRE (AMrTRE).  ... 
arXiv:2202.09971v5 fatcat:cwanbnyvb5cclpitafjilvb6au
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