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Image Reconstruction and Multidimensional Field Estimation From Randomly Scattered Sensors

Pan Pan, Dan Schonfeld
2008 IEEE Transactions on Image Processing  
images and field estimation from scattered sensors.  ...  We subsequently rely on the iterative estimation method for multidimensional image reconstruction and field estimation from sensors scattered according to a multidimensional Poisson and uniform distribution  ...  Yang and N. Bouaynaya for their comments.  ... 
doi:10.1109/tip.2007.912579 pmid:18229807 fatcat:3manomttybhurkhr2nnjfkrcgi

Extended field-of-view speckle-correlation imaging by estimating autocorrelation [article]

Yuto Endo, Jun Tanida, Makoto Naruse, Ryoichi Horisaki
2022 arXiv   pre-print
We derive the imaging model under this scattering condition and its inversion for reconstructing the object.  ...  We numerically and experimentally demonstrate the proposed method by reconstructing point sources behind scattering media with a limited memory effect.  ...  From these results of the reconstructed object o and the estimated decay parameter σ, it was verified that the proposed method extended the field of view under the limited memory effect.  ... 
arXiv:2206.09417v1 fatcat:khooiqd7avezjnr7eq2osxjmhu

Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation

Hunsop Hong, D. Schonfeld
2008 IEEE Transactions on Image Processing  
We propose to extend the use of the classical EM algorithm for image recovery from randomly sampled data and sensor field estimation from randomly scattered sensor networks.  ...  We further propose to use our approach in density estimation, image recovery and sensor field estimation.  ...  We propose the application of both the EM and MEEM algorithms for image reconstruction from randomly sampled images and sensor field estimation from randomly scattered sensors in Section V.  ... 
doi:10.1109/tip.2008.921996 pmid:18482885 fatcat:kvbxudnsdvb3hdrcmz7z3ultum

Advances in three-dimensional integral imaging: sensing, display, and applications [Invited]

Xiao Xiao, Bahram Javidi, Manuel Martinez-Corral, Adrian Stern
2013 Applied Optics  
Several data capture configurations, reconstruction, and display methods are overviewed.  ...  Integral imaging can display a true 3D color image with full parallax and continuous viewing angles by incoherent light; thus it does not suffer from speckle degradation.  ...  Multidimensional Optical Sensing and Imaging A multidimensional optical sensor and imaging system using integral imaging has been proposed [91] .  ... 
doi:10.1364/ao.52.000546 pmid:23385893 fatcat:vguj57sbybd7jdzzq3dggs26ui

Maximum-entropy expectation-maximization algorithm for image processing and sensor networks

Hunsop Hong, Dan Schonfeld, Chang Wen Chen, Dan Schonfeld, Jiebo Luo
2007 Visual Communications and Image Processing 2007  
We propose to extend the use of the classical EM algorithm for image recovery from randomly sampled data and sensor field estimation from randomly scattered sensor networks.  ...  We further propose to use our approach in density estimation, image recovery and sensor field estimation.  ...  We propose the application of both the EM and MEEM algorithms for image reconstruction from randomly sampled images and sensor field estimation from randomly scattered sensors in Section V.  ... 
doi:10.1117/12.698056 dblp:conf/vcip/HongS07 fatcat:4s3lfdo64bekflzlqk5xa5qlfi

Reference structure tomography

David J. Brady, Nikos P. Pitsianis, Xiaobai Sun
2004 Optical Society of America. Journal A: Optics, Image Science, and Vision  
The RST paradigm permits scan-free multidimensional imaging, dataefficient and computation-efficient source analysis, and direct abstraction of physical features.  ...  RST may be used to image source-density distributions, estimate source parameters, or classify sources.  ...  and subsequent target estimation from image data.  ... 
doi:10.1364/josaa.21.001140 pmid:15260245 fatcat:hgklqbg2qvhz5fpk6matnchn64

Imaging with random 3D reference structures

Prasant Potuluri, Mingbo Xu, David Brady
2003 Optics Express  
We describe a sensor system based on 3D 'reference structures' which implements a mapping from a 3D source volume on to a 2D sensor plane.  ...  We show how this bead structure spatially segments the source volume and present some simple experimental results of 2D and 3D imaging.  ...  Acknowledgments The authors are thankful to Nikos Pitsianis, Mike Sullivan, Xiaoboi Sun, Steve Feller, Evan Cull and Unnikrishnan Gopinathan for useful discussions.  ... 
doi:10.1364/oe.11.002134 pmid:19466101 fatcat:rxlqit34pvg6rk6gjxdz753h6i

End-to-end nanophotonic inverse design for imaging and polarimetry

Zin Lin, Charles Roques-Carmes, Raphaël Pestourie, Marin Soljačić, Arka Majumdar, Steven G. Johnson
2020 Nanophotonics  
approach, illustrated by two examples: subwavelength imaging and reconstruction of the full polarization coherence matrices of multiple light sources.  ...  The resulting structures scatter light in a way that is radically different from either a conventional lens or a random microstructure, and suppress the noise sensitivity of the inverse-scattering computation  ...  In between the sensor and the target region, we place a scattering structure, aka a photonic probe, ε(r) to be designed, at a "working" distance d u from the target and an "image" distance d v from the  ... 
doi:10.1515/nanoph-2020-0579 fatcat:tg2xgbgaqrat5epfo7l254u4ai

Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

Bahram Javidi, Xin Shen, Adam S. Markman, Pedro Latorre-Carmona, Adolfo Martinez-Uso, Jose Martinez Sotoca, Filiberto Pla, Manuel Martinez-Corral, Genaro Saavedra, Yi-Pai Huang, Adrian Stern
2017 Proceedings of the IEEE  
and reconstruct the multidimensionally integrated scene.  ...  Image fusion may be used to integrate the multidimensional images obtained by polarimetric sensors, multispectral cameras, and various multiplexing techniques.  ...  Light scattered by the 3D scene surface passes through each lenslet, and is then recorded by the sensor.  ... 
doi:10.1109/jproc.2017.2654318 fatcat:kgk2ej3hmvchxl7jdw3a4l73ua

Ultrawideband Noise Radar Imaging of Impenetrable Cylindrical Objects Using Diffraction Tomography

Hee Jung Shin, Ram M. Narayanan, Muralidhar Rangaswamy
2014 International Journal of Microwave Science and Technology  
Pixel difference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under various signal-to-noise ratio (SNR) conditions.  ...  in the spatial frequency domain to validate the analytical results by reconstructing the tomographic images of scattering objects.  ...  For multistatic radar systems, the images of a target are reconstructed based on range profiles obtained from the distributed sensor elements.  ... 
doi:10.1155/2014/601659 fatcat:bbmjluzjvvgcfbhotnh5gjsspq

Radar and Sonar Imaging and Processing (2nd Edition)

Andrzej Stateczny, Witold Kazimierski, Krzysztof Kulpa
2021 Remote Sensing  
The 14 papers (from 29 submitted) published in the Special Issue "Radar and Sonar Imaging Processing (2nd Edition)" highlight a variety of topics related to remote sensing with radar and sonar sensors.  ...  The sequence of articles included in the SI deal with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends, in which the latest developments in science  ...  Acknowledgments: We would like to thank all the authors who contributed to the Special Issue and the staff in the editorial office.  ... 
doi:10.3390/rs13224656 fatcat:qvxifyoi6fev3ejsbz5hkrcv7a

Single-shot 3D wide-field fluorescence imaging with a Computational Miniature Mesoscope

Yujia Xue, Ian G. Davison, David A. Boas, Lei Tian
2020 Science Advances  
We further quantify the effects of scattering and background fluorescence on phantom experiments.  ...  Here, we present a Computational Miniature Mesoscope (CM2) that overcomes these bottlenecks and enables single-shot 3D imaging across an 8 mm by 7 mm field of view and 2.5-mm DOF, achieving 7-μm lateral  ...  This is done by first randomly selecting multiple sub-FOV patches (800 m by 800 m) from the reconstructed volumes and then taking the xz MIPs.  ... 
doi:10.1126/sciadv.abb7508 pmid:33087364 pmcid:PMC7577725 fatcat:luyin4hscncvpmublgvy2vqacu

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
Lee, J., +, TGRS Oct. 2012 3941-3949 Microwave imaging Doppler Spectra of Microwave Scattering Fields From Nonlinear Oceanic Surface at Moderate-and Low-Grazing Angles.  ...  ., +, TGRS April 2012 1171-1184 Image reconstruction A Complete Processing Chain for Shadow Detection and Reconstruction in VHR Images.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu

Compressive-sensing-based multidimensional Doppler signal analysis for fetal activity monitoring

Adrian Basarab, Celine Quinsac, Jean-Marc Girault, Denis Kouame
2014 2014 IEEE International Ultrasonics Symposium  
First, the estimation of FAP is highly time consuming and thus cannot be used routinely.  ...  Second, part of FAP such as FM estimation is sometimes subjective (mothers are asked to count the fetal movements) and inaccurate.  ...  ACKNOWLEDGMENT The authors would like to thank Althais Technologies and University Hospital of Tours, France.  ... 
doi:10.1109/ultsym.2014.0263 fatcat:pa2lj2v5brbrzc7mptgp3g65om

Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System

Monica Herrero-Huerta, Alexander Bucksch, Eetu Puttonen, Katy M. Rainey
2020 Plant Phenomics  
Using a structure from motion (SfM) technique, we reconstructed 3D point clouds of the soybean experiment.  ...  Recent developments in high-resolution imaging sensors for UAS (unmanned aerial systems) focused on collecting detailed phenotypic measurements are a potential solution.  ...  Figure 4 : 4 Cross-validation scatter plots for field-measured AGB versus estimated AGB at Location 1 (a) and Location 2 (b) using the best regression model. 1 : 1 line marked as a red discontinuous line  ... 
doi:10.34133/2020/6735967 pmid:33575668 pmcid:PMC7869937 fatcat:aaywfmecrffc5ocdtpxeqblyhi
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