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

We propose a framework stitching of vector representations of large scaleraster mosaic images in distributed computing model. In this way, the negativeeffect of the lack of resources of the central system and scalability problemcan be eliminated. The product obtained by this study can be used inapplications requiring spatial and temporal analysis on big satellite mapimages. This study also shows that big data frameworks are not only used inapplications of text-based data mining and machine learning algorithms, butalso used in applications of algorithms in image processing. The effectivenessof the product realized with this project is also going to be proven byscalability and performance tests performed on real world LandSat-8 satelliteimages.

A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images