Automated Registration of Vector Data to Overhead Imagery

Autor: Jacob J. McKee, Melanie Laverdiere
Rok vydání: 2021
Předmět:
Zdroj: IGARSS
DOI: 10.1109/igarss47720.2021.9554510
Popis: The availability of open source, remote sensing-derived vector data has increased exponentially in recent years. Unfortunately, these vector data are rarely made available with the corresponding source images from which objects were extracted. As such, these derived datasets are commonly used in combination with target images which differ from the source. Satellite viewing geometry can cause objects, extracted from a source image, to appear shifted when overlaid with a target image. Whether for purely cartographic purposes, reusability of preexisting training labels, or any spatial analysis where spatial correspondence between vector and image are required, the following paragraphs outline a method to address this challenge through the automated registration of vector data to overhead imagery, including existing literature regarding this challenge, followed by a case study of Sioux Falls, South Dakota.
Databáze: OpenAIRE