Abstract

The extraction of building structures with the help of remote sensing pictures is an open analysis space in digital photogrammetry. The automated extraction of buildings has been a vital space of analysis in remote sensing. it's been tributary to numerous applications akin to land-use land cowl mapping, urban planning, disaster management, and lots of different socio-economic activities. This work does the surveys of assorted ways that are developed for automatic extraction of building from completely different information sources like aerial pictures, digital surface/elevation models, LIDAR data, multi-spectral pictures, artificial aperture measuring system pictures. Here, we have done a thorough literature survey on previous various works done in this area which identifies the various datasets that are used for remote sensing images analysis, key methodologies, and various evaluation metrics used for the extraction of buildings from remote sensing imagery used. Apart from this, the challenges that are still existing in this area are mentioned. Overall, this paper gives a quick introduction and existing challenges in the field of extraction of buildings with the help of remote sensing images.

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