AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
IEEE

Low-Rank Angular Prior Guided Multi-Diffusion Model for Few-Shot Low-Dose CT Reconstruction

Abstract: Low-dose computed tomography (LDCT) is essential in clinical settings to minimize radiation exposure; however, reducing the dose often leads to a significant decline in image quality.
AZoRobotics

Combining AI and X-ray Physics to Overcome Tomography Data Gaps

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...
Tech Xplore

Novel AI method sharpens 3D X-ray vision

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
IEEE

Optimization Method for DSM Reconstruction of Equivalent Pinhole Model Based on Iterative Resampling and Chunking Process

Abstract: The development of satellite remote sensing technology has made it easier to obtain satellite imagery. Compared to imagery obtained from aerial photography, satellite imagery has the ...
GitHub

Official implementation of paper "Domain Progressive Low-dose CT Imaging using Iterative Partial Diffusion Model"

First, please organize your datasets following the directory structure of the example dataset. Note that low-dose data is for testing purposes, IPDM training only requires NDCT data and is an ...