Open AccessData Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images
Author(s) -
Dimitris Kaimaris,
Πέτρος Πατιάς,
Giorgos Mallinis,
Charalampos Georgiadis
Publication year - 2020
Publication title -
sci
Language(s) - English
Resource type - Journals
ISSN - 2413-4155
DOI - 10.3390/sci2010010
Subject(s) - panchromatic film , multispectral image , remote sensing , satellite , aerial photography , rgb color model , image resolution , geography , aerial survey , satellite imagery , artificial intelligence , cartography , computer science , computer vision , engineering , aerospace engineering
Αbstract: 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 80s decade (1980–1990) 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.