Linear Variable Filters A Camera System Requirement Analysis For Hyperspectral Imaging Sensors Onboard Small Remotely Piloted Aircraft Systems

• doi: 10.1109/WHISPERS.2014.8077554
• title: Linear variable filters — A camera system requirement analysis for hyperspectral imaging sensors onboard small Remotely Piloted Aircraft Systems
• publisher: IEEE
• isbn: 978-1-4673-9013-2
• issn: 2158-6276
• rank: 2883
• access_type: LOCKED
• content_type: Conferences
• abstract: Improving the spectral detail of earth observation imaging from Remotely Piloted Aircraft Systems (RPAS) can greatly expand its potential for use in vegetation monitoring and specifically in precision agriculture. Spatially variable interference filters which can be placed very close to the image sensor offer an excellent opportunity for reducing the size, mass and complexity of hyperspectral imagers, allowing them to be mounted onboard small RPAS. Recent advances in filter deposition techniques allow to directly deposit interference filters on an image sensor. The monolithic integration of optical hyperspectral filters on top of a standard CMOS image sensor has been demonstrated by IMEC. Compared to the more conventional deposition of filters onto an external glass substrate, this new approach offers advantages in terms of cost, alignment accuracy, straylight, etc. A hyperspectral camera prototype compatible with small RPAS has been developed by VITO to demonstrate the potential of LVF-based compact spectral camera's. Whereas application of the filter technology offers major advantages for RPAS systems, it still faces some important challenges. The prototype system specifications need to fit a fixed wing RPAS platform that is able to cover several km2 in a single flight with hyperspectral geo-information. It remains challenging to make a sufficiently compact camera system, achieve precise spectral band registration, handle the amount of data to be processed and cope with limited integration times possible during acquisition.
• article_number: 8077554
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8077554
• html_url: https://ieeexplore.ieee.org/document/8077554/
• abstract_url: https://ieeexplore.ieee.org/document/8077554/
• publication_title: 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
• conference_location: Lausanne, Switzerland
• conference_dates: 24-27 June 2014
• publication_number: 8055034
• is_number: 8077482
• publication_year: 2014
• publication_date: 24-27 June 2014
• start_page: 1
• end_page: 4
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 500
• insert_date: 20171026
• index_terms:
  • ieee_terms:
    • Optical filters
    • Cameras
    • Hyperspectral imaging
    • Sensors
    • Prototypes
    • Memory
  • author_terms:
    • hyperspectral
    • multispectral
    • camera
    • RPAS
    • precision agriculture
    • linear variable filter
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Camera System
    • Remotely Piloted Aircraft
    • Remotely Piloted Aerial Systems
    • Remotely Piloted Aircraft Systems
    • Linear Variable Filter
    • Integration Time
    • Spectral Bands
    • Earth Observation
    • Precision Agriculture
    • Smart Farming
    • Smart Agriculture
    • Precision Farming
    • Direct Deposition
    • Interference Filter
    • Single Flight
    • High-resolution
    • Data Storage
    • Frame Rate
    • Multispectral
    • Focal Length
    • Focal Distance
    • Ground Level
    • Spectral Imaging
    • Spectral Tomography
    • Above Ground Level
    • Sensor Pixel
    • Motion Blur
    • Time And Motion
    • Flight Test
    • Narrow Spectral Bands
    • Detailed Analysis Of The Impact
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-4673-9013-2, isbnType: New-2005
  • format: USB ISBN, value: 978-1-4673-9011-8, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-9012-5, isbnType: New-2005
• authors:
  • Author Name: Philippe Serruys
    Affiliation: Flemish Institute for Technological Research - VITO NV, Mol, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37086226214
    ID: 37086226214
    Order: 1
    Author Affiliations:
    • Flemish Institute for Technological Research - VITO NV, Mol, Belgium
  • Author Name: Aleksandra Sima
    Affiliation: Flemish Institute for Technological Research - VITO NV, Mol, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37085487855
    ID: 37085487855
    Order: 2
    Author Affiliations:
    • Flemish Institute for Technological Research - VITO NV, Mol, Belgium
  • Author Name: Stefan Livens
    Affiliation: Flemish Institute for Technological Research - VITO NV, Mol, Belgium
    Author URL: https://ieeexplore.ieee.org/author/38506090500
    ID: 38506090500
    Order: 3
    Author Affiliations:
    • Flemish Institute for Technological Research - VITO NV, Mol, Belgium
  • Author Name: Bavo Delauré
    Affiliation: Flemish Institute for Technological Research - VITO NV, Mol, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37085489383
    ID: 37085489383
    Order: 4
    Author Affiliations:
    • Flemish Institute for Technological Research - VITO NV, Mol, Belgium
  • Author Name: Klaas Tack
    Affiliation: IMEC, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37085501314
    ID: 37085501314
    Order: 5
    Author Affiliations:
    • IMEC, Leuven, Belgium
  • Author Name: Bert Geelen
    Affiliation: IMEC, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37294688200
    ID: 37294688200
    Order: 6
    Author Affiliations:
    • IMEC, Leuven, Belgium
  • Author Name: Andy Lambrechts
    Affiliation: IMEC, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37550827100
    ID: 37550827100
    Order: 7
    Author Affiliations:
    • IMEC, Leuven, Belgium

Image Sensor

• sensor_type: CMOS
• resolution: 2048 x 1088
• dynamic_range: Not specified
• pixel_size: 5.5 μm
• dark_current: Not specified

Optical Data

• focal_length: 18.5 mm
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: Up to 63 fps

Applications & Benefits

• cell_imaging: Not specified
• benefits: Compact and lightweight hyperspectral imaging for precision agriculture and vegetation monitoring.

Supporting Organizations

• supported_by: Flemish Institute for Technological Research - VITO NV, IMEC

Manuscript Details

• publication_date: 24-27 June 2014

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • dark_current
  • noise
  • power_consumption
  • sensitivity
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • readout_speed

Processed JSON Filename

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