Page 72 - Book of Abstracts 2023

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Comparison between different methods for target detection in a a a a a hyperspectral image
EEE-1-1
By: Arie Buisine arie buisine@gmail com Advisor: Dr Isaac August Shamoon College of Engineering Beer-Sheva
The hyperspectral hyperspectral spectrometer provides hundreds of of of narrow contiguous bands over a a a a a a a a a a a a wide range of of of the electromagnetic spectrum Target detection in in hyperspectral hyperspectral images images is is one active area of of of research It uses algorithms to locate and identify specific targets in in in spectral spectral images images This approach is is is is used in in in in many applications such as surveillance vehicle recognition environmental analysis and mapping In this project we will examine the the performance of different algorithms for for identifying targets in in in in a a a a a a a a a a a a a a a a a a a a a hyperspectral image
It is is is important to to choose the the the appropriate detection algorithm and and method based on on on the the specific needs of each application and and to to verify performance using test data Keywords: hyperspectral hyperspectral hyperspectral imagery hyperspectral hyperspectral hyperspectral spectrometer hyperspectral hyperspectral hyperspectral target detection remote sensing system spectral spectral spectral characteristics
Simulation of a a a a a a a a a a a a a compressive spectral imaging system system based on on a a a a a a a a a a a a a linear sensor and a a a a a a a a a a a neural network array for airborne systems
EEE-1-2
By: Naor Ben Ben David naorbd1212@gmail com com Liel Ben Ben Simon lielbs2468@gmail com com Advisor: Dr Isaac August Shamoon College of Engineering Beer Sheva
In In this project we explore the the possibility of realizing a a a a a a a a a a a a a compressed airborne spectral imaging system system through Matlab simulation using a a a a a a a a a a a a a a a a a single InGaAs-based linear sensor in in in in in in in in the the the the infrared wavelength range The The system system structure is is is based based on on on on the the the theory of of compressed sensing and spectral spectral multiplexing using using a a a a a a a a a a a a a a a a a a a a a prism made of of liquid crystals The The The spectral spectral image
reconstruction is is is carried out using using a a a a a a a a a a a a a a a a a a a a a a a three-dimensional neural network lattice The The advantages are are in in in in in in the the the the hardware that performs compression already in in in in in the the the the process of acquiring the the the the signal which makes the the the the sensing sensing system less costly and and reproducibility faster and and more flexible Keywords: compressed sensing sensing hyperspectral imaging infrared liquid crystal neural network