Spectral Image Classification

Efficient subspace clustering of hyperspectral images using similarity-constrained sampling

The unsupervised classification of hyperspectral images (HSIs) draws attention in the remote sensing community due to its inherent complexity and the lack of labeled data. Among unsupervised methods, sparse subspace clustering (SSC) achieves high …

Hyperspectral image segmentation using 3D regularized subspace clustering model

The accurate segmentation of remotely sensed hyperspectral images has widespread attention in the Earth observation and remote sensing communities. In the past decade, most of the efforts focus on the development of different supervised methods for …

Spectral-spatial classification from multi-sensor compressive measurements using superpixels.

In this work, we propose to obtain features by considering the spectral information extracted from Hyperspectral CSI measurements, and the local spatial information extracted by clustering the Multispectral CSI measurements.