Automatic geometric processing for very high resolution optical satellite data based on vector roads and orthophotos
ID Pehani, Peter (Author), ID Čotar, Klemen (Author), ID Marsetič, Aleš (Author), ID Zaletelj, Janez (Author), ID Oštir, Krištof (Author)

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In response to the increasing need for fast satellite image processing SPACE-SI developed STORM—a fully automatic image processing chain that performs all processing steps from the input optical images to web-delivered map-ready products for various sensors. This paper focuses on the automatic geometric corrections module and its adaptation to very high resolution (VHR) multispectral images. In the automatic ground control points (GCPs) extraction sub-module a two-step algorithm that utilizes vector roads as a reference layer and delivers GCPs for high resolution RapidEye images with near pixel accuracy was initially implemented. Super-fine positioning of individual GCPs onto an aerial orthophoto was introduced for VHR images. The enhanced algorithm is capable of achieving accuracy of approximately 1.5 pixels on WorldView-2 data. In the case of RapidEye images the accuracies of the physical sensor model reach sub-pixel values at independent check points. When compared to the reference national aerial orthophoto the accuracies of WorldView-2 orthoimages automatically produced with the rational function model reach near-pixel values. On a heterogeneous set of 41 RapidEye images the rate of automatic processing reached 97.6%. Image processing times remained under one hour for standard-size images of both sensor types.

Keywords:automatic geometric processing, high resolution data, satellites, remote sensing, automatic image processing, geometric corrections, extraction of ground control points, physical sensor model, rational function model, earth observation
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
FGG - Faculty of Civil and Geodetic Engineering
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:26 str.
Numbering:Vol. 8, iss. 4, art. 343
PID:20.500.12556/RUL-130347 This link opens in a new window
ISSN on article:2072-4292
DOI:10.3390/rs8040343 This link opens in a new window
COBISS.SI-ID:39753261 This link opens in a new window
Publication date in RUL:14.09.2021
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Record is a part of a journal

Title:Remote sensing
Shortened title:Remote sens.
COBISS.SI-ID:32345133 This link opens in a new window


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:19.04.2016

Secondary language

Keywords:avtomatsko geometrijsko procesiranje, visoko resolucijski podatki, sateliti, daljinsko zaznavanje


Funder:EC - European Commission
Funding programme:European Regional Development Fund

Funder:Drugi - Drug financer ali več financerjev
Funding programme:Ministry of Education, Science and Sport of the Republic of Slovenia

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:J2-6777
Name:Samodejna objektno usmerjena klasifikacija pokrovnosti podatkov optičnega daljinskega zaznavanja

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