58 skills found · Page 1 of 2
liuyang12 / DeSCIRank Minimization for Snapshot Compressive Imaging (TPAMI'19)
TimSeizinger / Bokehlicious[ICCV 2025 Highlight] Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures. Official Code and Dataset
Jabittner / OpenSAFTAn open implementation of the Synthetic Aperture Focusing Technique (SAFT). This code was created initially for ultrasonic concrete inspection.
summitgao / SAR Change Detection GarborPCANetMatlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016
summitgao / SAR Change Detection NR ELMThe matlab code for "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine", JARS 2016
summitgao / SAR CD GKSNetCode for "Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network", IEEE JSTARS 2022
SKA-ScienceDataProcessor / Algorithm Reference LibraryReference code for simplified aperture synthesis imaging
summitgao / SAR Change Detection FDA RMGThe matlab code for "Synthetic aperture radar image change detection based on frequency domain analysis and random multigraphs" JARS 2018
onsala-space-observatory / APSYNSIMA real-time Aperture SYNthesis SIMulator. Based on code written by Ivan Marti-Vidal.
summitgao / SAR CD SAFNetCode for "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE JSTARS 2021
awreed / Neural Volumetric Reconstruction For Coherent SASCode for Neural Volume Reconstruction for Coherent Synthetic Aperture Sonar in SIGGRAPH 2023
jorgebaccauis / Deep Coded ApertureThis repo provides a the python code of the paper "Deep Coded Aperture Design: An End-to-EndApproach for Computational Imaging Tasks"
emilbjornson / Book Chapter On ELAAThis repository contains the code for the book chapter "Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays"
ArjunTeh / ApertureAwareLensDesignCode to go with the paper "Aperture-Aware Lens Design"
drhalftone / GPUCodedApertureGPU implementation of the GPSR algorithm for compressive sensing and coded aperture spectral snapshot imaging (CASSI). This work was supported under Grant Intel/NSF VEC 1538950.
summitgao / SAR CD DCNetCode is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network," IEEE JSTARS 2019
DND-DRDC-RDDC / OS DriverMetadataExtractionCodes RCM C Band SARdataThe RADARSAT Constellation Mission (RCM) refers to three satellites launched in 2019 and operated by the Government of Canada. These satellites collect both C-band Synthetic Aperture Radar (SAR) image data and ship-self-reporting Automatic Identification System (AIS) data from boats and ships. The files in this repository provide: (i) GDAL C++ driver code to open and ingest the C-band SAR images; and (ii) Python code to extract metadata from the C-band SAR images and compute other relevant quantities. These codes have been compiled and run on Windows 10 and Linux Ubuntu 18.04.
bpops / Codedaperturesa python package for generating coded aperture patterns
MuonRay / Quantum Entanglement Experiments Arduino PythonA series of codes for conducting the quantum entanglement experiments as showcased on my YouTube Channel. Using a non-linear crystal made of Beta-Barium Borate (BBO) I am able to generate 2 entangled photon beams of wavelength 810nm each from a pump laser beam of 405nm which is pulsed using the Arduino and directed into the splitter. the entangled photons are in quantum superposition of the H and V modes, with the indeterminacy being a perfect 50/50 split. These are directed by beamsplitters into 2 detectors which either detect a H or V mode but never both. Whichever silicon phototransistor sensor on the arduino detects the H and which detects the V mode is purely random creating a random number source that is irreducible and thus unhackable. The random numbers generated by this scheme are a stream of integer bits. To generate purely random non-integers I use a CCD and a split mirror that directs the 2 photons into an aperture of a connected CCD microscope sensor. By splitting the image were the 2 beams of entangled photons meet and correlating the 2 images to detect random changes we can assume due to the nature of entanglment that the difference between the images must be in part due to the random fluctuations of the vacuum as the 2 entangled photons when cross-correlated should be equal but of opposite polarization. the randomness is beneath the intrinsic shot noise of the CCD sensor as quantum entangled photon streams generated in such a scheme allow for sub-shot noise imaging in holography setups. A python code for generating cross-correlated images is also available to use in this repository however it requires time to correlate across all the pixel data. this can be used as a way to produce sub-shot noise images using standard CCD microscope cameras in such a setup.
marianavarro27 / ValInSARValInSAR is a Matlab supported open source code developed by the University of Alicante aimed to validate Differential Synthetic Aperture Radar Interferometry (DInSAR) measurements with in-situ techniques to obtain reliable subsidence measurements.
