Method for the automatic georeferencing and calibration of cartographic images

The paper considers one of the stages of creating and reneqing digital maps, i.e., georeferencing and calibrating cartographic representations (scanned topographic drawings). It is proposed to use the standards accepted in Russia for paper maps to search for intersections in the coordinate lines using known physical coordinates. An algorithmic system and software consisting of the following stages have been developed: search for interior and exterior margins of the topographic drawing, search for intersections of coordinate lines, verification of detected control points, and geometric transformation. The use of this method allows one to exclude hand labor by operators, which saves 10–20 min per map board. Ol’ga Aleksandrova Titova. Born in 1980. Graduated from Samara State Aerospace University (SGAU) in 2003. Received Candidate’s degree in 2006 in technical sciences. An assistant at the Geoinformatics Department of SGAU and a trainee observer at the Image Processing Systems Institute of Russian Academy of Science. Scientific interests include digital signal and image processing, including remotesensing data, geoinformation systems, and image recognition. She is the author of 19 scientific publications, including four articles, and a Member of the Russian Association for Pattern Recognition and Image Analysis. Andrei Vladimirovich Chernov. Born in 1975. Graduated from Samara State Aerospace University (SGAU) in 1998. Received Candidate’s degree in 2004 in technical sciences. Associate Professor at the Department of Geoinformatics, Samara State Aerospace University. Scientific interests include processing remote sensing data and image recognition. He is the author of more than 50 scientific publications, including 24 articles and one monograph (as a coauthor), as well as a member of the Russian Association for Pattern Recognition and Image Analysis.