Multispectral Imaging

Dear Colleagues,

Its now time to conduct a survey on the research in multispectral imaging, both theatrical and applications. Multispectral imaging first started in remote sensing with very wide band sensors. This science is now popular in many areas. In the past two years, we have been able to find in the market snapshot or push-broom cameras dedicated to machine vision. These new cameras are based on new operating systems. They are dedicated to real time, allowing the orderly acquisition of moving objects. Compared to color imaging, multispectral imagery covers several areas, including:

Security
Medicine
Agriculture
Automotive

Research has led to many advances in the last 10 years, but there are still unresolved issues.

Multispectral imaging could be divided into three major areas of research:

1. The analysis methods of spectral data for their exploitation;
2. The MSFA (multispectral Filter Array);
3. Filtering technologies.

There is not a unique approach to solve the problems. This edition expects to propose new methods and new systems of filtering and analyzing multispectral data in both theory and applications.

Multispectral image analysis: Must cover the fields of compression, visualization of the spectral data, identification, deep learning, etc.

The MSFA: Must allow highlighting spectral reconstruction methods and linking with the CFA widely developed for color imaging technologies. It will also include the possibility of using MSFA in real time, for example, snapshot cameras.

Filtering: Must include the methods of selections of spectral bands and new developments of filters based on microelectronics, such as nanotechnology. Contributions will focus on making multispectral cameras more efficient and extending their application to mobile objects.

Prof. Pierre Gouton
Guest Editor

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