izpis_h1_title_alt

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

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede: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
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FE - Fakulteta za elektrotehniko
FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2016
Št. strani:26 str.
Številčenje:Vol. 8, iss. 4, art. 343
PID:20.500.12556/RUL-130347 Povezava se odpre v novem oknu
UDK:528:55
ISSN pri članku:2072-4292
DOI:10.3390/rs8040343 Povezava se odpre v novem oknu
COBISS.SI-ID:39753261 Povezava se odpre v novem oknu
Datum objave v RUL:14.09.2021
Število ogledov:584
Število prenosov:144
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:Remote sensing
Skrajšan naslov:Remote sens.
Založnik:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:19.04.2016

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:avtomatsko geometrijsko procesiranje, visoko resolucijski podatki, sateliti, daljinsko zaznavanje

Projekti

Financer:EC - European Commission
Program financ.:European Regional Development Fund

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Ministry of Education, Science and Sport of the Republic of Slovenia

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:J2-6777
Naslov:Samodejna objektno usmerjena klasifikacija pokrovnosti podatkov optičnega daljinskega zaznavanja

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