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Activity title

Workshop on Phenomenology and Exploitation of Hyperspectral Sensing within NATO

Activity Reference

SET-277

Panel

Sensors & Electronics Technology

Security Classification

Other

Status

Planning

Activity type

RWS

Start date

2019

End date

2020

Keywords

BRDF, CBRNE, CCD, CIED, compressive sensing, EOIR, Hyperspectral Sensing, LWIR, machine learning, Polarimetry, Spectral Signatures, Spectroscopy, VNIRSWIR

Background

In recent years, several initiatives within NATO assessed the significance of hyperspectral technology for various defence and security applications. The aim of this workshop is to invite hyperspectral experts from current and past SCI and SET panels to build an integrated review of their findings which will be supplemented by the participation of external contributors.

Objectives

This workshop aims at providing a platform for current and past NATO initiatives having interest in the hyperspectral technology to share their findings and recommendations, get feedback, discuss the evolution of the technology and propose a way-forward. External participation will permit to extend the scope to topics and applications not yet studied at the NATO level.

Topics

It is expected that: 1. Past and current NATO SET and SCI group representatives will deliver briefings on the challenges, achievements and recommendations relative to their problem space; 2. External contributors deliver briefings on their research relevant to defence and security issues; 3. Progresses on the phenomenology associated to thermal hyperspectral sensing (with potential support from other modalities) covering atmospheric compensation, registration and georeferencing of hyperspectral data, target detection and classification, change detection, data compression, spectropolarimetry, will be exposed; 4. Exchanges on advances in sensing and processing will also be encouraged. As an example, the community will be invited to reflect on the opportunities that compressive sensing, machine learning, deep learning capabilities are providing to the exploitation of the technology; and how the technology can contribute to the AI paradigm. 5. A report will be produced to capture challenges, achievement and recommendations of way-forward.

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