Search Results for author: Ahmad W. Bitar

Found 4 papers, 0 papers with code

Automatic Target Detection for Sparse Hyperspectral Images

no code implementations14 Apr 2019 Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong, Ali Chehab

The sparse component is directly used for the detection, that is, the targets are simply detected at the non-zero entries of the sparse target HSI.

Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection

no code implementations16 Aug 2018 Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery.

Image and Video Processing Signal Processing

Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery

no code implementations24 Nov 2017 Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

Given a target prior information, our goal is to propose a method for automatically separating targets of interests from the background in hyperspectral imagery.

Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model

no code implementations21 Nov 2017 Ahmad W. Bitar, Mohammad M. Mansour, Ali Chehab

Various optimizations targeted to increase accuracy at the so-called layers S1, C1, and S2 of the HMAX model are proposed.

Cannot find the paper you are looking for? You can Submit a new open access paper.