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Remote Sens. 2016, 8(4), 343; doi:10.3390/rs8040343

Automatic Geometric Processing for Very High Resolution Optical Satellite Data Based on Vector Roads and Orthophotos

1
Research Centre of the Slovenian Academy of Sciences and Arts, Novi trg 2, 1000 Ljubljana, Slovenia
2
Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI, Aškerčeva cesta 12, 1000 Ljubljana, Slovenia
3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia
4
Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editors: Devrim Akca, Richard Gloaguen and Prasad S. Thenkabail
Received: 3 December 2015 / Revised: 22 March 2016 / Accepted: 11 April 2016 / Published: 19 April 2016
View Full-Text   |   Download PDF [6317 KB, uploaded 19 April 2016]   |  

Abstract

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. View Full-Text
Keywords: automatic image processing; geometric corrections; extraction of ground control points; physical sensor model; rational function model; earth observation automatic image processing; geometric corrections; extraction of ground control points; physical sensor model; rational function model; earth observation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pehani, P.; Čotar, K.; Marsetič, A.; Zaletelj, J.; Oštir, K. Automatic Geometric Processing for Very High Resolution Optical Satellite Data Based on Vector Roads and Orthophotos. Remote Sens. 2016, 8, 343.

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