Sensor Fusion and Image Interpretation Through Integrated Spatial/ Spectral Pattern Recognition.

摘要

Typical multispectral/hyperspectral image (MSI/HSI) data analysis focuses on single pixel-at-a-time analysis and pattern matching to known or trained spectral signatures. Nearest neighbor and object feature classification techniques are not fully exploited through traditional MSI/HSI approaches. Inputs from multiple sensors of varying formats, spectral resolution, and spatial resolution are only beginning to be fused together.