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Oficial repository of the paper "Hyperspectral Camera as Compact Payload Architecture for Remote Sensing Applications"

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CubeSat Compact Camera

.len files used in the paper: "Hyperspectral Camera as Compact Payload Architecture for Remote Sensing Applications"

DOI:10.1364/AO.463726

Abstract

Monitoring and observation over the surface of the Earth have been a matter of global interest. In this path, recent efforts aim to develop a spatial mission to perform remote sensing applications. Mainly, CubeSats nanosatellites have emerged as a standard for developing low-weight and small-size instruments. In terms of payloads, state-of-the-art optical systems for Cubesats are expensive and designed to work in general use cases. To overcome these limitations, this paper presents a 1.4U compact optical system to acquire spectral images from CubeSat standard satellite at the height of 550 km. To validate the proposed architecture, optical simulations using ray tracing simulation software are presented. Because the performance of computer vision tasks is highly related to the data quality, we compared the optical system in terms of the classification performance on a real remote sensing application. The performance of the optical characterization and the land cover classification show that the proposed optical system achieves a compact instrument, operating at a spectral range from 450 nm to 900 nm discretized on 35 spectral bands. The optical system has an overall F/# of 3.41 with a GSD of 52.8 m, and a Swath of 40 km. Additionally, the design parameters for each optical element are publicly available for validation, repeatability, and reproducibility of the results.

What is presented in this repo.

in this repo are conetained the files used to simulate the proposed optical system in OSLO software.

  1. 'curve.len'. For the curved image surface simulation included in Figures 3, 4, 6, 10, 11 and 12 and 13.

w. 'flat.len'. For the flat image surface simulation included in Figures 5, 10, 11 and 12 and 13.

How to cite

If this repo is useful for your and you use it in an academic work, please consider citing our paper as

@article{Norato2023,
  doi = {10.1364/ao.476978},
  url = {https://doi.org/10.1364/ao.476978},
  year = {2023},
  month = jan,
  publisher = {Optica Publishing Group},
  author = {David Norato and Sergio Urrea and Hans Garcia and Julian Rodriguez and Elizabeth Martinez Ayala and Henry Arguello and Alberto Silva and Rafael Torres and Ignacio Acero and Francisco Hern{\'{a}}ndez and Lorena C{\'{a}}rdenas and Sonia Rinc{\'{o}}n},
  title = {Hyperspectral Camera as Compact Payload Architecture for Remote Sensing Applications},
  journal = {Applied Optics}
}

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Oficial repository of the paper "Hyperspectral Camera as Compact Payload Architecture for Remote Sensing Applications"

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