75 citations · 76 across the 4 of their papers we have counts for
5 papers
Automatic Target Detection for Sparse Hyperspectral Images
Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong +1
In this work, a novel target detector for hyperspectral imagery is developed. The detector is independent on the unknown covariance matrix, behaves well in large dimensions, distri…
Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection
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. More precisely, we regard the given hyperspectral image (…
Sparsity-based Cholesky Factorization and its Application to Hyperspectral Anomaly Detection
Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong
Estimating large covariance matrices has been a longstanding important problem in many applications and has attracted increased attention over several decades. This paper deals wit…
Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model
Ahmad W. Bitar, Mohammad M. Mansour, Ali Chehab
In this paper, an efficient implementation for a recognition system based on the original HMAX model of the visual cortex is proposed. Various optimizations targeted to increase ac…
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery
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. More precisely, we…