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An autonomousendmember detection technique based on lattice associative memories and statistical clustering | IEEE Conference Publication | IEEE Xplore

An autonomousendmember detection technique based on lattice associative memories and statistical clustering


Abstract:

We present an autonomous technique for the detection and extraction of all potential endmembers from hyperspectral imagery. The proposed technique is based on the convex ...Show More

Abstract:

We present an autonomous technique for the detection and extraction of all potential endmembers from hyperspectral imagery. The proposed technique is based on the convex polyhedral model. The computation of the vertices of a minimal polyhedron is accomplished using lattice auto-associave memories as well as other lattice algebra theoretic concepts. A novel statistical data clustering algorithm is used to select final endmembers.
Date of Conference: 26-28 June 2013
Date Added to IEEE Xplore: 26 October 2017
ISBN Information:
Electronic ISSN: 2158-6276
Conference Location: Gainesville, FL, USA

References

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