Paper
10 May 2011 Next generation signature-based hyperspectral detection: a challenge to atmospheric modelers
Author Affiliations +
Abstract
Recent successes in detecting specific materials with hyperspectral sensing systems belie the challenging problems that loom. Easy targets, spectrally distinct from clutter, challenge neither detection algorithms, nor the methods used to translate laboratory signatures into field spectra. The full promise of wide area autonomous detection with hyperspectral systems will not be met using rudimentary algorithms, such as the linear matched filter or the ACE algorithm. Nor will signature translation methods that produce a single radiance estimate suffice. This paper suggests a new methodology for addressing future challenges, along with signature characterization protocols that would enable advanced detection capabilities.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Schaum and Brian Daniel "Next generation signature-based hyperspectral detection: a challenge to atmospheric modelers", Proc. SPIE 8040, Active and Passive Signatures II, 80400C (10 May 2011); https://doi.org/10.1117/12.883506
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Sensors

Detection and tracking algorithms

Atmospheric modeling

Hyperspectral target detection

Algorithm development

Atmospheric sensing

Back to Top