Results 1 to 10 of about 1,049 (135)

Unveiling the Invisible: A Case of Canine Diffuse Microscopic Pancreatic Adenocarcinoma With Normal Imaging and Gross Appearance of the Pancreas Complicated by Sterile Peritonitis and Disseminated Intravascular Coagulation. [PDF]

open access: yesVet Med Sci
This case report describes an atypical presentation of diffuse microscopic pancreatic adenocarcinoma in an 11‐year‐old male neutered Shetland Sheepdog, which was not detectable on advanced diagnostic imaging or during exploratory laparotomy. Despite the absence of visible pancreatic abnormalities, histopathology confirmed malignant infiltration ...
Chan HM   +7 more
europepmc   +2 more sources

Tomographic Imaging of a Forested Area By Airborne Multi-Baseline P-Band SAR

open access: yesSensors, 2008
In recent years, various attempts have been undertaken to obtain information about the structure of forested areas from multi-baseline synthetic aperture radar data.
Felix Mörsdorf, Othmar Frey
exaly   +3 more sources

Automated orofacial virtual patient creation using two cohorts of MSCT vs. CBCT scans [PDF]

open access: yesHead & Face Medicine
Background Virtual simulation has advanced in dental healthcare, but the impact of different tomographic techniques on virtual patient (VP) creation remains unclear.
Thanatchaporn Jindanil   +7 more
doaj   +2 more sources

Cross Sensor Simulation of Tomographic SAR Stacks

open access: yesRemote Sensing, 2019
This paper presents an algorithm for simulating tomographic synthetic aperture radar (SAR) data based on another stack actually gathered by a real acquisition system. Through the procedure here proposed, the simulated system can be evaluated according to
Mauro Mariotti D'Alessandro   +2 more
exaly   +3 more sources

Tomographic SAR Imaging Method Based on Sparse and Low-rank Structures

open access: yesLeida xuebao, 2022
This paper proposes a three-dimensional tomographic SAR imaging method based on a combined sparse and low-rank structures. The traditional Compressed Sensing (CS) based tomographic SAR imaging methods only utilize the sparse representation and ...
Yao ZHAO   +4 more
doaj   +1 more source

URBAN 3D RECONSTRUCTION OF VHR SAR IMAGES USING ITERATIVE OPTIMIZATION ALGORITHM AND LAYOVER FIXED-ORDER MODEL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is a three-dimensional SAR imaging technique that uses multiple passes to process complex SAR images and obtain three-dimensional spatial scattering information to derive the elevation scattering ...
C. H. Zhang, L. Pang, D. Y. Liu
doaj   +1 more source

Advances in Information Extraction of Surface Parameters Using Tomographic SAR

open access: yesLeida xuebao, 2021
Traditional Synthetic Aperture Radar (SAR) imaging is the projection of a real three-dimensional scene onto a two-dimensional domain of azimuth and slant range, which results in the loss of the high-dimensional information.
Zhen LI   +5 more
doaj   +1 more source

THE RESEARCH ON ACCURACY EVALUATION METHOD OF THE TOMOGRAPHIC SAR THREE-DIMENSIONAL RECONSTRUCTION OF URBAN BUILDING BASED ON TERRESTRIAL LIDAR POINT CLOUD [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Muti-baseLine SAR tomography can be used on 3D reconstruction of urban building based on SAR images acquired. In the near future, it is expected to become an important technical tool for urban multi-dimensional precision monitoring.
L. Li, L. Pang, X. D. Zhang, H. Liu
doaj   +1 more source

An Unsupervised CNN-Based Multichannel Interferometric Phase Denoising Method Applied to TomoSAR Imaging

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Tomographic synthetic aperture radar (TomoSAR) is an advanced SAR interferometric technique to retrieve 3-D spatial information. However, the standard deviation in the reconstructed elevation could be high due to the noise in the interferometric phases ...
Jie Li   +5 more
doaj   +1 more source

Potential of P-Band SAR Tomography in Forest Type Classification

open access: yesRemote Sensing, 2021
Forest type classification using spaceborne remote sensing is a challenge. Low-frequency Synthetic Aperture Radar (SAR) signals (i.e., P-band, ∼0.69 m wavelength) are needed to penetrate a thick vegetation layer.
Dinh Ho Tong Minh   +2 more
doaj   +1 more source

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