Guidance in feature extraction to resolve uncertainty

Boris Kovalerchuk; Michael Kovalerchuk; Simon Streltsov; Matthew Best

doi:10.1117/12.2016509

13 June 2013 Guidance in feature extraction to resolve uncertainty

Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best

Proceedings Volume 8747, Geospatial InfoFusion III; 874707 (2013) https://doi.org/10.1117/12.2016509
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, and Matthew Best "Guidance in feature extraction to resolve uncertainty", Proc. SPIE 8747, Geospatial InfoFusion III, 874707 (13 June 2013); https://doi.org/10.1117/12.2016509

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