English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Space situational awareness demands efficient monitoring of terrestrial sitesand celestial bodies, necessitating advanced target recognition systems.Current target recognition systems exhibit limited operational speed due tochallenges in handling substantial image data. While machine learning hasimproved this scenario, highresolution images remain a concern. Opticalcorrelators, relying on analog processes, provide a potential alternative butare hindered by material limitations. Recent advancements in hybridopto-electronic correlators (HOC) have addressed such limitations, additionallyachieving shift, scale, and rotation invariant (SSRI) target recognitionthrough use of the polar Mellin transform (PMT). However, there are currentlyno techniques for obtaining the PMT at speeds fast enough to take advantage ofthe inherent speed of the HOC. To that end, we demonstrate an optoelectronicPMT pre-processor that can operate at record-breaking millisecond frame ratesusing commercially available components for use in an automated SSRI HOC imagerecognition system for space situational awareness.

High-speed Opto-electronic Pre-processing of Polar Mellin Transform for  Shift, Scale and Rotation Invariant Image Recognition at Record-Breaking  Speeds