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An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification
2017
Remote Sensing
This study presents the development of a semi-automated processing chain for urban object-based land-cover and land-use classification. The processing chain is implemented in Python and relies on existing open-source software GRASS GIS and R. The complete tool chain is available in open access and is adaptable to specific user needs. For automation purposes, we developed two GRASS GIS add-ons enabling users (1) to optimize segmentation parameters in an unsupervised manner and (2) to classify
doi:10.3390/rs9040358
fatcat:q65vsz34trfyxd6ntuu6lxgxca