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

As of any other satellite images, LAPAN-A3/IPB multispectral images sufferedfrom both geometric and radiometric distortions which need to be corrected.LAPAN as satellite owner has developed image preprocessing algorithm to processraw image into systematically corrected image. This research aims to evaluatethe performance of the developed algorithm, particularly the performance oflens vignetting and band co-registration correction as well as the performanceof direct image georeferencing. Lens vignetting distortion occurs on image wascorrected by using pre-flight calibration data, while calculation of directgeoreferencing was done by using satellite metadata of satellite position andattitude. Meanwhile, band co-registration correction was conducted basedentirely on the image being processed using image matching approach. Based onseveral results and analysis which have been done, lens vignetting effects onimage can be suppressed significantly from about 40 percent down to 10 percent,band coregistration error can be reduced to below 2-3 pixels in average, andthe calculated direct georeferencing has 3000 meter accuracy. The results showthat the developed image preprocessing algorithm has moderately goodperformance to process LAPAN-A3/IPB multispectral images.

Development of Systematic Image Preprocessing of LAPAN-A3/IPB Multispectral Images