计算机科学
人工智能
计算机视觉
模式识别(心理学)
作者
Jacob J. McKee,Melanie Laverdiere
出处
期刊:International Geoscience and Remote Sensing Symposium
日期:2021-07-11
卷期号:: 5465-5468
标识
DOI:10.1109/igarss47720.2021.9554510
摘要
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.
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