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

In the context of Space Surveillance and Tracking the observations provided by a network of sensors are processed and used to maintain a catalogue of orbital elements. The build-up of a catalogue and its maintenance depend on the capacity to determine the orbit of the observed objects from few measurements sparsely distributed on relative long arcs. The sparse observations or short seque nces of observations need to be correlated or associated with each other. The association consists in identifying the series of observations, so-called tracklets, that belong to the same space object. A method is proposed to associate radar tracklets, consisting of radar observations, to other radar tracklets or to optical tracklets acquired with optical sensors and consisting of angles-only observations. The association method is applied to different simulated observation scenarios and the performance of the algorithm is evaluated.

Tracklet-tracklet correlation method for radar and angle observations