Photogrammetric processing of non-traditional data
Fotogrammetrické zpracování netradičních dat
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České vysoké učení technické v Praze
Czech Technical University in Prague
Czech Technical University in Prague
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Abstract
Netradičnı́ data vyžadujı́ při fotogrammetrickém zpracovánı́ modernı́mi metodami speciálnı́ postupy, které se lišı́ od postupů použı́vaných při fotogrammetrickém zpracovánı́ běžných snı́mků pořı́zených digitálnı́mi kamerami. Dle definice netradičnı́ch dat je možné jako netradičnı́ data označit analogové měřické snı́mky anebo termoviznı́ snı́mky. Těmto dvěma přı́padům se věnuje předložená disertačnı́ práce. Pro fotogrammetrické zpracovánı́ těchto dat byly navrženy inovativnı́ metody pro pre-processing a post-processing. Metody byly navrženy tak, aby výsledek fotogrammetrického zpracovánı́ měl co nejvyššı́ možnou přesnost a v přı́padě zpracovánı́ termoviznı́ch snı́mků bylo možné výsledky využı́t i pro zı́skánı́ 2D a 3D modelů obohacených o termoviznı́ informaci. V rámci disertačnı́ práce byly metody popsány, analyzovány a testovány na vybraných objektech. Výsledky výzkumu jsou publikované ve čtyřech článcı́ch ve vědeckých časopisech. Disertačnı́ práce je předložena jako komentovaný soubor zmı́něných článků.
Non-traditional data are data that require a different approach than common digital images when processing using modern photogrammetric methods. By definition, as non-traditional data can be considered analogue metric images and thermal infrared images. These two case studies were researched in this doctoral thesis. For successful photogrammetric processing of the non-traditional data, innovative pre-processing and post-processing methods were designed. The methods were designed to have the possibility to achieve sufficient geometrical accuracy of the results and, in the case of the thermal infrared images, the methods were designed to have the ability to create 2D and 3D models augmented by thermal infrared information. In the doctoral thesis, the methods were described, analyzed, and tested on chosen objects. The research findings were presented in four articles in the scientific journals. This thesis is prepared as a commented set of the four articles.
Non-traditional data are data that require a different approach than common digital images when processing using modern photogrammetric methods. By definition, as non-traditional data can be considered analogue metric images and thermal infrared images. These two case studies were researched in this doctoral thesis. For successful photogrammetric processing of the non-traditional data, innovative pre-processing and post-processing methods were designed. The methods were designed to have the possibility to achieve sufficient geometrical accuracy of the results and, in the case of the thermal infrared images, the methods were designed to have the ability to create 2D and 3D models augmented by thermal infrared information. In the doctoral thesis, the methods were described, analyzed, and tested on chosen objects. The research findings were presented in four articles in the scientific journals. This thesis is prepared as a commented set of the four articles.
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fotogrammetrie, netradičnı́ data, analogové měřické snı́mky, termoviznı́ snı́mky, structure from motion, multi-view stereo matching, pre-processing, post-processing, photogrammetry, non-traditional data, analogue metric images, thermal infrared images, structure from motion, multi-view stereo matching, pre-processing, post-processing