Radiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction

Abstract Today the use of spaceborne Very High Resolution (VHR) optical sensors for automatic 3D information extraction is increasing in the scientific and civil communities. The 3D Optical Metrology (3DOM) unit of the Bruno Kessler Foundation (FBK) in Trento (Italy) has collected VHR satellite imagery, as well as aerial and terrestrial data over Trento for creating a complete testfield for investigations on image radiometry, geometric accuracy, automatic digital surface model (DSM) generation, 2D/3D feature extraction, city modelling and data fusion. This paper addresses the radiometric and the geometric aspects of the VHR spaceborne imagery included in the Trento testfield and their potential for 3D information extraction. The dataset consist of two stereo-pairs acquired by WorldView-2 and by GeoEye-1 in panchromatic and multispectral mode, and a triplet from Pleiades-1A. For reference and validation, a DSM from airborne LiDAR acquisition is used. The paper gives details on the project, dataset characteristics and achieved results.

[1]  Fabio Remondino,et al.  Testfield Trento: Geometric Evaluation of Very High Resolution Satellite Imagery , 2012 .

[2]  K. Kohm Orbimage,et al.  MODULATION TRANSFER FUNCTION MEASUREMENT METHOD AND RESULTS FOR THE ORBVIEW-3 HIGH RESOLUTION IMAGING SATELLITE , 2004 .

[3]  Dominique Leger,et al.  On-orbit MTF assessment of satellite cameras , 2004 .

[4]  Mazlan Hashim,et al.  Very high resolution optical satellites for DEM generation : a review , 2011 .

[5]  Fabio Remondino,et al.  EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD , 2013 .

[6]  Hannes Taubenböck,et al.  Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  L. Perret,et al.  PLEIADES SYSTEM ARCHITECTURE AND MAIN PERFORMANCES , 2012 .

[8]  P. Reinartz,et al.  Semiglobal Matching Results on the ISPRS Stereo Matching Benchmark , 2012 .

[9]  Karsten Jacobsen,et al.  CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING , 2012 .

[10]  K. Jacobsen.  CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING , 2012 .

[11]  Poli Daniela,et al.  Evaluation of WORLDVIEW-1 Stereo Scenes , 2009 .

[12]  Martina L. Hobi,et al.  Accuracy Assessment of Digital Surface Models Based on WorldView-2 and ADS80 Stereo Remote Sensing Data , 2012, Sensors.

[14]  Thierry Toutin,et al.  Review of developments in geometric modelling for high resolution satellite pushbroom sensors , 2012 .

[15]  Mattia Crespi,et al.  A Procedure for High Resolution Satellite Imagery Quality Assessment , 2009, Sensors.

[16]  Daniela Poli,et al.  3D modeling of large urban areas with stereo VHR satellite imagery: lessons learned , 2013, Natural Hazards.

[17]  Chuck Chaapel.  Using WorldView-1 Stereo Data with or without Ground Control P Automatic DEM Generation , 2008 .

[18]  Manuel A. Aguilar,et al.  Generation and Quality Assessment of Stereo-Extracted DSM From GeoEye-1 and WorldView-2 Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Li Zhang.  Automatic Digital Surface Model (DSM) generation from linear array images , 2005 .

[20]  Fabio Remondino,et al.  From DSM to 3D building models : a quantitative evaluation , 2013 .

[21]  Cody Anderson,et al.  On-orbit Modulation Transfer Function (MTF) Measurements for IKONOS and QuickBird , 2007 .

[22]  Exams Tuk.  PHOTOGRAMMETRY & REMOTE SENSING , 2016 .