Compressive sampling for multispectral imaging in the vis-NIR-TIR: optical design of space telescopes

Pariani, Giorgio; Zanutta, Alessio; Genoni, Matteo; Basso, S.; Bianco, Andrea; Benetti, Michele; Freddi, R.; Striano, V.; Cilia, G.; Sanguinetti, S.; Colombo, R.

doi:10.1117/12.2312008

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2022

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“…In remote-sensing applications, a few examples of CS sensing architectures are reported in the literature [35][36][37][38]. Given the peculiar motion of the sensing platform, the whiskbroom (WB) or pushbroom (PB) acquisition strategies are the most suited.…”

Section: Introductionmentioning

confidence: 99%

Earth Observation via Compressive Sensing: The Effect of Satellite Motion

2022

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In the framework of earth observation for scientific purposes, we consider a multiband spatial compressive sensing (CS) acquisition system, based on a pushbroom scanning. We conduct a series of analyses to address the effects of the satellite movement on its performance in a context of a future space mission aimed at monitoring the cryosphere. We initially apply the state-of-the-art techniques of CS to static images, and evaluate the reconstruction errors on representative scenes of the earth. We then extend the reconstruction algorithms to pushframe acquisitions, i.e., static images processed line-by-line, and pushbroom acquisitions, i.e., moving frames, which consider the payload displacement during acquisition. A parallel analysis on the classical pushbroom acquisition strategy is also performed for comparison. Design guidelines following this analysis are then provided.

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Section: Introductionmentioning

confidence: 99%