Paper
21 May 2015 A comparison of directed search target detection versus in-scene target detection in Worldview-2 datasets
S. Grossman
Author Affiliations +
Abstract
Since the events of September 11, 2001, the intelligence focus has moved from large order-of-battle targets to small targets of opportunity. Additionally, the business community has discovered the use of remotely sensed data to anticipate demand and derive data on their competition. This requires the finer spectral and spatial fidelity now available to recognize those targets. This work hypothesizes that directed searches using calibrated data perform at least as well as inscene manually intensive target detection searches. It uses calibrated Worldview-2 multispectral images with NEF generated signatures and standard detection algorithms to compare bespoke directed search capabilities against ENVI™ in-scene search capabilities. Multiple execution runs are performed at increasing thresholds to generate detection rates. These rates are plotted and statistically analyzed. While individual head-to-head comparison results vary, 88% of the directed searches performed at least as well as in-scene searches with 50% clearly outperforming in-scene methods. The results strongly support the premise that directed searches perform at least as well as comparable in-scene searches.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Grossman "A comparison of directed search target detection versus in-scene target detection in Worldview-2 datasets", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94721H (21 May 2015); https://doi.org/10.1117/12.2177283
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Cited by 1 scholarly publication.
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KEYWORDS
Target detection

Detection and tracking algorithms

Statistical analysis

Atmospheric modeling

Calibration

Image processing

Reflectivity

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