Aug 8, 2014 · Abstract: In this paper, a new sparse representation-based binary hypothesis (SRBBH) model for hyperspectral target detection is proposed.

Abstract—In this paper, a new sparse representation-based bi- nary hypothesis (SRBBH) model for hyperspectral target detec- tion is proposed.

Jun 9, 2016 · Considering the small target with complex background, a sparse representation based binary hypothesis (SRBBH) model is established in this paper ...

A new sparse representation-based binary hypothesis (SRBBH) model for hyperspectral target detection is proposed, which reveals that the SRBBH model shows ...

In this paper, a new sparse representation-based binary hypothesis (SRBBH) model for hyperspectral target detection is proposed.

The sparse representation based classifier (SRC) and its kernel version (KSRC) have been employed for hyperspectral image (HSI) classification.

Abstract—In this paper, a new sparse representation-based bi- nary hypothesis (SRBBH) model for hyperspectral target detec- tion is proposed.

A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images. https://doi.org/10.1109/tgrs.2014.2337883 ·.

Abstract—The sparsity model has been employed for hyper- spectral target detection and has been proved to be very effective when compared to the traditional ...

Abstract—In this paper, we propose a novel constrained sparse- representation-based binary hypothesis model for target detection in hyperspectral imagery.