Spectral-Spatial Hyperspectral Image Classification Using a Multiscale Conservative Smoothing Scheme and Adaptive Sparse Representation

Spatial information has been demonstrated to be useful for hyperspectral images (HSIs) classification. The challenge is that spatial properties are often present at various spatial scales instead of a single fixed scale. A multiscale conservative smoothing algorithm is proposed in this paper to reduce noise and extract spatial structure information from coarse to fine levels. Over-smoothing is pre...