Evaluation of automatic extraction methods for morphostructural and magnetic lineaments from remote sensor images and aerogeophysical data
DOI:
https://doi.org/10.11606/issn.2316-9095.v22-187403Keywords:
Remote sensing, Magnetometry, Digital image processing, Lineaments, Automatic mappingAbstract
Remote sensing images allow viewing the entire terrain surface and the elements that compose it. Among the features related to these elements, and visible in aerial and orbital images, are the morphostructural lineaments, which register the occurrence of tectonic activity on the surface. In the subsurface, these geological features can extend to great crustal depths, being visible in magnetic data and, therefore, called magnetic lineaments. The extraction of morphostructural and magnetic lineaments can be performed manually, semiautomatically, and automatically, and the possibility of using different data sources and different computational algorithms found in automatic methods allows the identification of elements and distinct shapes associated with the lineaments, promoting their proper extraction. The objective of this work was to extract the morphostructural and magnetic lineaments from remote sensor data and aerogeophysical data, in a similar way to that obtained by manual methods, by testing the parameters present in the threshold detection algorithms, by thresholds and segmentation, and to verify the complementarity of the extraction of lineaments automatically mapped in these different data sets.
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