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Found 4 papers, 0 papers with code
Automatic Target Detection for Sparse Hyperspectral Images
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
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
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
Various optimizations targeted to increase accuracy at the so-called layers S1, C1, and S2 of the HMAX model are proposed.
