Document Type
Conference Proceeding
Department or Administrative Unit
Computer Science
Publication Date
6-13-2013
Abstract
Automated Feature Extraction (AFE) plays a critical role in image understanding. Often the imagery analysts extract features better than AFE algorithms do, because analysts use additional information. The extraction and processing of this information can be more complex than the original AFE task, and that leads to the “complexity trap”. This can happen when the shadow from the buildings guides the extraction of buildings and roads. This work proposes an AFE algorithm to extract roads and trails by using the GMTI/GPS tracking information and older inaccurate maps of roads and trails as AFE guides.
Recommended Citation
Kovalerchuk, B., Kovalerchuk, M., Streltsov, S., & Best, M. (2013). Guidance in feature extraction to resolve uncertainty. Geospatial InfoFusion III, 874707. https://doi.org/10.1117/12.2016509
Journal
Geospatial InfoFusion III
Rights
© 2013 SPIE
Comments
This article was originally published in Geospatial InfoFusion III. The full-text article from the publisher can be found here.
Copyright 2013 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.