Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images

Version 1 : Received: 10 May 2019 / Approved: 2 July 2019 / Online: 8 July 2019 (00:00:00 CEST)
Version 2 : Received: 10 May 2019 / Approved: 2 July 2019 / Online: 13 March 2020 (00:00:00 CET)

A peer-reviewed article of this Preprint also exists.

Kaimaris, D.; Patias, P.; Mallinis, G.; Georgiadis, C. Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images. Sci 2020, 2, 29. Kaimaris, D.; Patias, P.; Mallinis, G.; Georgiadis, C. Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images. Sci 2020, 2, 29.

Journal reference: Sci 2020, 2, 29
DOI: 10.3390/sci2020029

Abstract

To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there is a small number of publications studying the fusion of aerial photographs with satellite images, with the year of image acquisition varying and the dates of acquisition not mentioned. In addition, in these publications, either no quantitative controls are performed on the composite images produced, or the aerial photographs are recent and colorful and only the RGB bands of the satellite images are used for data fusion purposes. The objective of this paper is the study of the addition of multispectral information from satellite images to black and white aerial photographs of the 2nd half of the 20th century (1950–1999) with small difference (just a few days) in their image acquisition date, the same year and season. Quantitative tests are performed in two case studies and the results are encouraging, as the accuracy of the classification of the features and objects of the Earth’s surface is improved and the automatic digital extraction of their form and shape from the archived aerial photographs is now allowed. This opens up a new field of use for the black and white aerial photographs and archived multispectral satellite images of the same period in a variety of applications, such as the temporal changes of cities, forests and archaeological sites.

Subject Areas

black and white aerial photographs; multispectral satellite images; data fusion; correlation tables; classification

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