SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared

2021 ◽  
Vol 8 (1) ◽  
pp. 28
Author(s):  
Cinzia Lastri ◽  
Gabriele Amato ◽  
Massimo Baldi ◽  
Tiziano Bianchi ◽  
Maria Fabrizia Buongiorno ◽  
...  

This paper describes the activities related to a feasibility study for an Earth observation optical payload, operating in the medium infrared, based on super-resolution and compressive sensing techniques. The presented activities are running in the framework of the ASI project SISSI, aiming to improve ground spatial resolution and mitigate saturation/blooming effects. The core of the payload is a spatial light modulator (SLM): a bidimensional array of micromirrors electronically actuated. Thanks to compressive sensing approach, the proposed payload eliminates the compression board, saving mass, memory and energy consumption.

2003 ◽  
Vol 29 (6) ◽  
pp. 502-503
Author(s):  
M. V. Logunov ◽  
N. V. Moiseev ◽  
Yu. N. Sazhin ◽  
S. V. Yudina

2015 ◽  
Vol 54 (8) ◽  
pp. 1894 ◽  
Author(s):  
Zhijing Zhu ◽  
Hao Chi ◽  
Shilie Zheng ◽  
Tao Jin ◽  
Xiaofeng Jin ◽  
...  

2020 ◽  
Vol 28 (18) ◽  
pp. 26447
Author(s):  
Xiujie Fang ◽  
Kai Wei ◽  
Tian Zhao ◽  
Yueyang Zhai ◽  
Danyue Ma ◽  
...  

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 35
Author(s):  
Lastri ◽  
Guzzi ◽  
Nardino ◽  
Palombi ◽  
Raimondi

Earth Observation applications could take advantage from the availability of high spatial resolution data in the MIR-TIR. This, however, poses technological challenges, especially for the availability of large focal plane. Here we discuss two approaches, the compressive sensing and the super-resolution, that could provide a basis for the development of innovative EO instruments working in the MIR-TIR and able to enjoy an augmented resolution without increasing the number of detection elements in the matrix detector. Main pros and cons are analyzed, focusing on simulations done for an instrument combining both approaches to achieve super-resolved images for studying hot events.


Photonics ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 64
Author(s):  
Haitang Yang ◽  
George V. Eleftheriades

Recently, the super-oscillation phenomenon has attracted attention because of its ability to super-resolve unlabelled objects in the far-field. Previous synthesis of super-oscillatory point-spread functions used the Chebyshev patterns where all sidelobes are equal. In this work, an approach is introduced to generate super-oscillatory Taylor-like point-spread functions that have tapered sidelobes. The proposed method is based on the Schelkunoff’s super-directive antenna theory. This approach enables the super-resolution, the first sidelobe level and the tapering rate of the sidelobes to be controlled. Finally, we present the design of several imaging experiments using a spatial light modulator as an advanced programmable grating to form the Taylor-like super-oscillatory point-spread functions and demonstrate their superiority over the Chebyshev ones in resolving the objects of two apertures and of a mask with the letter E.


2004 ◽  
Author(s):  
Xinghua Wang ◽  
Bin Wang ◽  
Paul F. McManamon III ◽  
John J. Pouch ◽  
Felix A. Miranda ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Valentina Raimondi ◽  
Luigi Acampora ◽  
Massimo Baldi ◽  
Dirk Berndt ◽  
Tiziano Bianchi ◽  
...  

Increased spatial resolution and revisit time of payloads operating in the infrared spectral region can offer unprecedented advantages to Earth Observation. This, however, poses several technological challenges, such as large array detector availability and data bandwidth. In this paper, we present a super-resolved demonstrator—based on a compressive sensing architecture—which is being developed to address enhanced performance in terms of at-ground spatial resolution, on-board data processing and encryption functionalities for Earth Observation payloads. The demonstrator’s architecture is here presented, together with its working principle, main features and the approach used for image reconstruction.


Author(s):  
Valentina Raimondi ◽  
Luigi Acampora ◽  
Gabriele Amato ◽  
Massimo Baldi ◽  
Dirk Berndt ◽  
...  

2013 ◽  
Vol 21 (8) ◽  
pp. 9615 ◽  
Author(s):  
Anwar Hussain ◽  
J. L. Martínez ◽  
A. Lizana ◽  
J. Campos

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