Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 121-126, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
15 May 2017
V. Baiocchi1, A. Bianchi2, C. Maddaluno3, and M. Vidale4 1Sapienza, University of Rome, Department of Civil, Constructional and Environmental Engineering, 00184, Rome, Italy
2Ministero per i Beni e le Attività Culturali ed il Turismo, Istituto Superiore per la Conservazione ed il Restauro, Rome, Italy
3Whitehall Reply s.r.l. Via del Giorgione, 59 00147, Rome, Italy
4Università degli Studi di Padova, Dipartimento dei Beni Culturali: Archeologia, Storia dell’Arte, del Cinema, Padova, Italy
Keywords: Pan Sharpening, WorldView-3, Iraq, Remote sensing, Multispectral, Very High Resolution (VHR), Nineveh Abstract. The recent mass destructions of monuments in Iraq cannot be monitored with the terrestrial survey methodologies, for obvious reasons of safety. For the same reasons, it’s not advisable the use of classical aerial photogrammetry, so it was obvious to think to the use of multispectral Very High Resolution (VHR) satellite imagery. Nowadays VHR satellite images resolutions are very near airborne photogrammetrical images and usually they are acquired in multispectral mode. The combination of the various bands of the images is called pan-sharpening and it can be carried on using different algorithms and strategies. The correct pansharpening methodology, for a specific image, must be chosen considering the specific multispectral characteristics of the satellite used and the particular application. In this paper a first definition of guidelines for the use of VHR multispectral imagery to detect monument destruction in unsafe area, is reported.

The proposed methodology, agreed with UNESCO and soon to be used in Libya for the coastal area, has produced a first report delivered to the Iraqi authorities. Some of the most evident examples are reported to show the possible capabilities of identification of damages using VHR images.

Conference paper (PDF, 1529 KB)

Citation: Baiocchi, V., Bianchi, A., Maddaluno, C., and Vidale, M.: PANSHARPENING TECHNIQUES TO DETECT MASS MONUMENT DAMAGING IN IRAQ, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 121-126,, 2017.

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