Detection of small targets and their characterization based on their formation using an image feature network-based object recognition algorithm

Jeremy Straub

doi:10.1117/12.2050174

13 June 2014 Detection of small targets and their characterization based on their formation using an image feature network-based object recognition algorithm

Jeremy Straub

Author Affiliations +

Proceedings Volume 9092, Signal and Data Processing of Small Targets 2014; 909203 (2014) https://doi.org/10.1117/12.2050174
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Small target detection and classification is problematic. For targets that operate as part of a cluster, classification can be performed based on the characteristics of the cluster’s operations, instead of trying to identify an individual clustermember directly. This paper presents an algorithm for object identification based on comparing networks of point-topoint distances between features identified by an image feature detection algorithm. It discusses the alterations required to make the algorithm suitable for performing cluster-formation based characterization of small targets from point or near-point source data. An analysis of the algorithm’s performance is presented and it efficacy for this application assessed.

Citation Download Citation

Jeremy Straub "Detection of small targets and their characterization based on their formation using an image feature network-based object recognition algorithm", Proc. SPIE 9092, Signal and Data Processing of Small Targets 2014, 909203 (13 June 2014); https://doi.org/10.1117/12.2050174

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