Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method

Robert S. Rand

doi:10.1117/12.478757

2 August 2002 Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method

Robert S. Rand

Proceedings Volume 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII; (2002) https://doi.org/10.1117/12.478757
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A simulated annealing method of partitioning hyperspectral imagery, initialized by a supervised classification method, is investigated to provide spatially smooth class labeling for terrain mapping applications. The method is used to obtain an estimate of the mode a Gibbs distribution defined over a symmetric spatial neighborhood system that is based on an energy function characterizing spectral disparities in Euclidean distance and spectral angle. Experiments are conducted on a 210-band HYDICE scene that contains a diverse range of terrain features and that is supported with ground truth. Both visual and quantitative results demonstrate a clear benefit of this method as compared to spectral-only supervised classification or unsupervised annealing that has been initialized randomly.

Citation Download Citation

Robert S. Rand "Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478757

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