Matrix superposition structure with a tree-based principle

Andre Sokolnikov

doi:10.1117/12.2058120

13 June 2014 Matrix superposition structure with a tree-based principle

Andre Sokolnikov

Proceedings Volume 9090, Automatic Target Recognition XXIV; 90900I (2014) https://doi.org/10.1117/12.2058120
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

If we assume that a natural image can be modeled as a succession of a multilevel system, we can develop an optimal routine of a matrix superposition. Each matrix separates the fundamental elements by a set of optimal criteria. The matrix superposition is then characterized by a tree-based principle which is applied adaptively. We will also demonstrate how the missing data constrains may be overcome by collecting additional measurements.

Citation Download Citation

Andre Sokolnikov "Matrix superposition structure with a tree-based principle", Proc. SPIE 9090, Automatic Target Recognition XXIV, 90900I (13 June 2014); https://doi.org/10.1117/12.2058120

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