13 June 2013 Guidance in feature extraction to resolve uncertainty
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Kovalerchuk, Boris Kovalerchuk, Michael Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Simon Streltsov, Matthew Best, Matthew Best, } "Guidance in feature extraction to resolve uncertainty", Proc. SPIE 8747, Geospatial InfoFusion III, 874707 (13 June 2013); doi: 10.1117/12.2016509; https://doi.org/10.1117/12.2016509
PROCEEDINGS
12 PAGES


SHARE
Back to Top