Progressive Band Selection Processing of Hyperspectral Image Classification

摘要

This letter introduces a new approach to hyperspectral image classification (HSIC), called progressive band selection processing of hyperspectral image classification (PBSP-HSIC), which performs classification in multiple stages in the sense that each stage performs HSIC progressively according to a specifically selected band subset. Interestingly, such PBSP-HSIC offers a rare view of how different classes are classified in progressive stages, which has never been explored in the past. The experimental results also show that PBSP-HSIC performs better than HSIC using full bands.