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A Brief Survey on Hyperspectral Sensor

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Soft Computing for Security Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1428))

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Abstract

Remote Sensing plays a vital role in development of any particular country infrastructure. Among all sensors Hyperspectral sensors have an edge over other sensors as it provides better insights about the quality, quantity and type of elements present in any area as it provides spectral signatures in form of spectral bands over varied range of continuous electromagnetic spectrum. This survey lists the various type of hyperspectral sensors present in the world their specifications and applications, from the year 1987 till date 2022. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS–NG), Hyperion, Compact High-Resolution Imaging Spectrometer (CHRIS), Compact Airborne Spectrographic Imager (CASI), Digital Airborne Imaging Spectrometer (DAIS), Indian Airborne Hyperspectral Imager, medium-spectral resolution imaging spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS), Hyperspectral Digital Imagery Collection Experiment (HYDICE), Hyperspectral Imaging System (HySIS), Shortwave Infrared Airborne Spectrographic Imager (SASI), Midwave IR Airborne Spectrographic Imager (MASI), Thermal Airborne Spectrographic Imager (TASI), Indian Microsatellite-1(IMS-1), ISRO Airborne imaging spectrometer (AIMS) are discussed in this paper.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Devang Patel Institute of Advance Technology & Research (DEPSTAR), Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, India

    Ritiksha Modi, Kashyap Patel & Amit Nayak

  2. Department of Computer Science and Automation, Indian Institute of Science (IISC), Bengaluru, India

    Ichchhit Baranwal

Authors
  1. Ritiksha Modi
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  2. Ichchhit Baranwal
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  3. Kashyap Patel
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  4. Amit Nayak
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Corresponding author

Correspondence to Ritiksha Modi .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Ryerson Communications Lab, Toronto, ON, Canada

    Xavier Fernando

  3. Department of Information Systems, University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Modi, R., Baranwal, I., Patel, K., Nayak, A. (2023). A Brief Survey on Hyperspectral Sensor. In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore. https://doi.org/10.1007/978-981-19-3590-9_26

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