Hyperspectral camera as a compact payload architecture for remote sensing applications

被引:5
|
作者
Morales-Norato, David [1 ]
Urrea, Sergio [1 ]
Garcia, Hans [1 ]
Rodriguez-Ferreira, Julian [2 ]
Martinez, Elizabeth [1 ]
Arguello, Henry [1 ]
Silva-Lora, Alberto [2 ,3 ]
Torres, Rafael [2 ,3 ]
Acero, Ignacio F. [4 ]
Hernandez, Francisco L. [5 ]
Cardenas, Lorena P. [6 ]
Rincon, Sonia [6 ]
机构
[1] Univ Ind Santander, Grp Invest HDSP, Bucaramanga, Colombia
[2] Univ Ind Santander, Grp Invest CEMOS, Bucaramanga, Colombia
[3] Univ Ind Santander, Grp Invest GOTS, Bucaramanga, Colombia
[4] Univ Sergio Arboleda, Grp Invest SIKU, Bogota, Colombia
[5] Univ Valle, Grp Invest Percepc Remota GIPER, Cali, Colombia
[6] CITAE, Ctr Invest Tecnol Aerosp, Grp Invest Hefesto, Fuerza Aerea Colombiana, Cali, Colombia
关键词
Compendex;
D O I
10.1364/AO.476978
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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, CubeSat nanosatellites have emerged as a standard for developing low-weight and small-sized 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 1.4 U compact optical system to acquire spectral images from a CubeSat standard satellite at the height of 550 km. To validate the proposed architecture, optical simulations using ray tracing sim-ulation software are presented. Because the performance of computer vision tasks is highly related to data quality, we compared the optical system in terms of the classification performance on a real remote sensing application. The performances of the optical characterization and 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-number of 3.41 with a ground sampling distance 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.(c) 2023 Optica Publishing Group
引用
收藏
页码:C88 / C98
页数:11
相关论文
共 50 条
  • [21] Systematic Review of Anomaly Detection in Hyperspectral Remote Sensing Applications
    Racetin, Ivan
    Krtalic, Andrija
    APPLIED SCIENCES-BASEL, 2021, 11 (11):
  • [22] Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images
    Agilandeeswari, Loganathan
    Prabukumar, Manoharan
    Radhesyam, Vaddi
    Phaneendra, Kumar L. N. Boggavarapu
    Farhan, Alenizi
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [23] On the framework, algorithms and applications of hyperspectral remote sensing data mining
    Du, PJ
    Chen, YH
    IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 752 - 755
  • [24] Progress of hyperspectral remote sensing applications on cultural relics protection
    Zhang L.
    Wang S.
    Zhang Y.
    Yuan D.
    Song R.
    Ql W.
    Qu L.
    Lu Z.
    Tong Q.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2023, 52 (07): : 1126 - 1138
  • [25] Compact snapshot hyperspectral camera for ophthalmology
    Guenot, Diego
    Alexander, Jan
    Selvander, Madeleine
    OPTICS CONTINUUM, 2024, 3 (04): : 565 - 573
  • [26] Standalone and Compact Hyperspectral Camera Design
    Hanliloglu, Onur
    Kirik, Mustafa Sancay
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [27] Design and manufacture of compact long-slit spectrometer for hyperspectral remote sensing
    Zhu, Jiacheng
    Shen, Weimin
    OPTIK, 2021, 247
  • [28] Photothermoplastic-based airborne camera for remote sensing applications
    Rotaru, VK
    Andriesh, IS
    Dementiev, IV
    Korshak, OY
    Neamtsu, SN
    Robu, SV
    Abdeldayem, HA
    Kukhtarev, NV
    Ciapurin, IV
    ACTIVE AND PASSIVE REMOTE SENSING OF THE OCEANS, 2005, 5656 : 85 - 91
  • [29] A Short Survey of Hyperspectral Remote Sensing and Hyperspectral Remote Sensing Research At TUBITAK UZAY
    Sakarya, Ufuk
    Teke, Mustafa
    Demirkesen, Can
    Haliloglu, Onur
    Kozal, Ali Omer
    Deveci, Husne Seda
    Oztoprak, A. Feray
    Toreyin, Behcet Ugur
    Gurbuz, Sevgi Zubeyde
    2015 7TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), 2015, : 187 - 192
  • [30] Feasibility study of hyperspectral line-scanning camera imagery for remote sensing purposes
    Soszynska, Agnieszka
    Mueller-Rowold, Malte
    Reulke, Ralf
    2018 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ), 2018,