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Proceedings Paper

Determination of airphotograph timing in a day for 3D model of point clouds for temple archeology object
Author(s): Barandi Sapta Widartono
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Paper Abstract

Remote sensing aerial photography could produce 3 dimensional object images for archaeological objects. Exposure time was important in getting optimal information. There were two important points of concern in this exposure time, the first was the lighting conditions as a source of energy in remote sensing, including the position of the existence of objects that exist in the external environment that was much influenced by the existence and shooting time. The second point was vehicle conditions of unmanned air vehicle to environmental air condition. In 3 dimensional modeling, It was important to got the detail of archaeological information from the observed facade. Passive systems in remote sensing rely heavily on sources of energy derived from the sun and the intensity of light. This study aims to determine when the most optimal time in a day to produce aerial photographs with the best results by relying on the results of information obtained with a fundamental model of 3 dimensional point cloud for archeological objects of the temple that requires information detail of the object. Multirotor Unmanned Air Vehicle aircraft as device to took aerial photographs, structure in motion modeling and bundling adjustment method to produce the recorded object display. Archeological objects need detailed information for carving reliefs and architecture of the buildings. The results obtained depend solely on the variety of recording objects to obtain the most optimal point cloud data. Hopefully with the more detailed data obtained based on the position of energy sources and weather conditions expected results obtained could be better and efficient.

Paper Details

Date Published: 9 October 2018
PDF: 14 pages
Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV, 107891T (9 October 2018); doi: 10.1117/12.2325802
Show Author Affiliations
Barandi Sapta Widartono, Univ. Gadjah Mada (Indonesia)

Published in SPIE Proceedings Vol. 10789:
Image and Signal Processing for Remote Sensing XXIV
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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