Open AccessVisual Orthophoto Classification Application
Author(s) -
Vilma Kriaučiūnaitė-Neklejonovienė,
Juraj Mužík,
Stanislav Hodás
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/906/1/012076
Subject(s) - computer science , orthophoto , software , selection (genetic algorithm) , character (mathematics) , data processing , processing , artificial intelligence , image processing , stability (learning theory) , remote sensing , machine learning , data mining , image (mathematics) , database , geography , programming language , geometry , mathematics
Data acquisition using remote sensing has opened up new possibilities of their analysis and application. For the ecological stability calculations, it is needed to divide the observed area into subsections based on the land character. The selection may be done by various kinds of processing. For example, it may be done manually, but to increase the post-processing effectivity, it is necessary to find faster, automatic ways of the post-processing. Many software environments are able to solve this problematic by using spectral analyses and appropriate tools.