Human Assisted Artificial Intelligence Based Technique to Create Natural Features for OpenStreetMap

Autor:	Yadav, Piyush, Sarkar, Dipto, Deshpande, Shailesh, Curry, Edward
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Computers and Society
Druh dokumentu:	Working Paper
Popis:	In this work, we propose an AI-based technique using freely available satellite images like Landsat and Sentinel to create natural features over OSM in congruence with human editors acting as initiators and validators. The method is based on Interactive Machine Learning technique where human inputs are coupled with the machine to solve complex problems efficiently as compare to pure autonomous process. We use a bottom-up approach where a machine learning (ML) pipeline in loop with editors is used to extract classes using spectral signatures of images and later convert them to editable features to create natural features. Comment: 3 pages, 2 Figures, Submitted to FOSS4G Europe 2020 Academic Track (Postponed to 2021)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.02149 Zobrazit plný text záznamu View this record from Arxiv