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Ahmad W. Bitar

2 accepted papers

2018

Target and Background Separation in Hyperspectral Imagery for Automatic Target Detection

ICASSP 2018accepted

In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery. More precisely, we regard the given hyperspectral image (HSI) as being made up of the sum of low-rank background HSI and a sparse target HSI that contains the known targets base…

Cited by 0SourceScholar
2017

Simultaneous sparsity-based binary hypothesis model for real hyperspectral target detection

ICASSP 2017accepted

In this paper, a simultaneous sparsity representation-based binary hypothesis (S-SRBBH) model for target detection in hyperspectral image (HSI) is proposed. The S-SRBBH exploits the interpixel correlation within neighboring pixels in HSI, and then, each test pixel is represented by only the backgrou…

Cited by 0SourceScholar