arxiv.org/abs/2504.08049v3
This work presents a new approach to anomaly detection and localization in synthetic aperture radar imagery (SAR), expanding upon the existing patch distribution modeling framework (PaDiM). We introduce the adaptive cosine estimator (ACE) detection s...
arxiv.org/abs/0812.0917v1
We present observations of the Lynds' dark nebula LDN 1111 made at microwave frequencies between 14.6 and 17.2 GHz with the Arcminute Microkelvin Imager (AMI). We find emission in this frequency band in excess of a thermal free--free spectrum extra...
arxiv.org/abs/2012.04222v1
Land-cover classification using remote sensing imagery is an important Earth observation task. Recently, land cover classification has benefited from the development of fully connected neural networks for semantic segmentation. The benchmark datasets...
arxiv.org/abs/2108.06746v1
AstroSat is India's first space-based astronomical observatory, launched on September 28, 2015. One of the payloads aboard AstroSat is the Cadmium Zinc Telluride Imager (CZTI), operating at hard X-rays. CZTI employs a two-dimensional coded aperture m...
arxiv.org/abs/1901.08531v1
We investigate the coronal imaging capabilities of the Solar UltraViolet Imager (SUVI) on the Geostationary Operational Environmental Satellite-R series spacecraft. Nominally Sun-pointed, SUVI provides solar images in six Extreme UltraViolet (EUV) wa...
en.wikipedia.org/wiki/Arcminute_Microkelvin_Imager
The Arcminute Microkelvin Imager (AMI) consists of a pair of interferometric radio telescopes - the Small and Large Arrays - located at the Mullard Radio
github.com/bricelam/ImageResizer
Moved to Microsoft PowerToys (⭐ 1038)
github.com/dahtah/imager
R package for image processing (⭐ 186)
arxiv.org/abs/1709.05349v1
A long duration gamma-ray burst, GRB 160530A, was detected by the Compton Spectrometer and Imager (COSI) during the 2016 COSI Super Pressure Balloon campaign. As a Compton telescope, COSI is inherently sensitive to the polarization of gamma-ray sourc...
github.com/aws-samples/lambda-refarch-imagerecognition
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. (⭐ 664)
en.wikipedia.org/wiki/Fresnel_imager
A Fresnel imager is a proposed ultra-lightweight design for a space telescope that uses a Fresnel array as primary optics instead of a typical lens. It
arxiv.org/abs/1402.4816v1
The Palomar Cosmic Web Imager (PCWI), an integral field spectrograph designed to detect and map low surface brightness emission, has obtained imaging spectroscopic maps of Ly-alpha from the circum-QSO medium (CQM) of QSO HS1549+19 at redshift of 2.84...
github.com/chrieke/awesome-satellite-imagery-datasets
?️ List of satellite image training datasets with annotations for computer vision and deep learning (⭐ 3866)
www.smithsonianmag.com/smart-news/satellite-imagery-shows-northern-california-kelp-forests-have-collapsed-180977214/
Points: 658 | Comments: 433 | Author: PretzelFisch
github.com/bbc/Imager.js
Responsive images while we wait for srcset to finish cooking (⭐ 3832)
arxiv.org/abs/2512.13500v1
Non-consensual intimate imagery (NCII), also known as image-based sexual abuse (IBSA), is mediated through online platforms. Victim-survivors must turn to platforms to collect evidence and request content removal. Platforms act as the crime scene, ju...
arxiv.org/abs/2602.08531v1
Thermal imaging provides a practical sensing modality for visual SLAM in visually degraded environments such as low illumination, smoke, or adverse weather. However, thermal imagery often exhibits low texture, low contrast, and high noise, complicati...
arxiv.org/abs/2009.04788v1
LUCI (Lagrange eUv Coronal Imager) is a solar imager in the Extreme UltraViolet (EUV) that is being developed as part of the Lagrange mission, a mission designed to be positioned at the L5 Lagrangian point to monitor space weather from its source on...
arxiv.org/abs/2101.10846v1
Brain-Computer Interfaces (BCI) based on motor imagery translate mental motor images recognized from the electroencephalogram (EEG) to control commands. EEG patterns of different imagination tasks, e.g. hand and foot movements, are effectively classi...
arxiv.org/abs/2304.02016v1
The AI community has embraced multi-sensory or multi-modal approaches to advance this generation of AI models to resemble expected intelligent understanding. Combining language and imagery represents a familiar method for specific tasks like image ca...