Polarization Imaging For Remote Sensing

• doi: 10.1109/MRRS.2017.8075015
• title: Polarization imaging for remote sensing
• publisher: IEEE
• isbn: 978-1-5090-5392-6
• issn:
• rank: 3287
• access_type: LOCKED
• content_type: Conferences
• abstract: We initially present a liquid crystal (LC) based creation procedure for full Stokes polarization image sensors. The proposed method enables an arrangement of both micron scale LC polarization rotators and λ/4 retarders. These can be integrated over a CMOS polarization image sensor. Also, the DoFP polarization image sensors seize polarization properties at each edge by grabbing some part of the polarization data and results in a changing instantaneous field of view (IFoV). To recover the missing polarization, interpolation methods are employed. We propose residual interpolation for DoFP image sensors, and compare the results with the already adopted algorithms. We tested our algorithm for underwater image. The results show that residual interpolation performs better than other methods in terms of visual and mean square error.
• article_number: 8075015
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8075015
• html_url: https://ieeexplore.ieee.org/document/8075015/
• abstract_url: https://ieeexplore.ieee.org/document/8075015/
• publication_title: 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)
• conference_location: Kiev, Ukraine
• conference_dates: 29-31 Aug. 2017
• publication_number: 8055741
• is_number: 8075005
• publication_year: 2017
• publication_date: 29-31 Aug. 2017
• start_page: 15
• end_page: 18
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 365
• insert_date: 20171019
• index_terms:
  • ieee_terms:
    • Interpolation
    • Image sensors
    • Error analysis
    • Optimized production technology
    • Visualization
    • Splines (mathematics)
  • author_terms:
    • polarization
    • stokes parameters
    • liquid crystal
    • interpolation
    • polarization image sensor
  • dynamic_index_terms:
    • Polarization Imaging
    • Mean Square Error
    • Mean Square Deviation
    • Image Sensor
    • Camera Sensor
    • Polarization Rotation
    • Visual Error
    • Instantaneous Field Of View
    • IFOV
    • Estimation Error
    • Error Of Approximation
    • High-resolution Images
    • Linearly Polarized
    • Propagation Direction
    • Visual Evaluation
    • Visual Rating
    • Low-resolution Images
    • Bilinear Interpolation
    • Spline Interpolation
    • Output Filter
    • Degree Of Polarization
    • Bicubic
    • Polar Part
    • Stokes Parameters
    • Stokes Vector
    • Liquid Crystal Layer
    • Guided Filter
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-5392-6, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5090-5390-2, isbnType: New-2005
  • format: Print ISBN, value: 978-1-5090-5389-6, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-5391-9, isbnType: New-2005
• authors:
  • Author Name: Ashfaq Ahmed
    Affiliation: Department of Bioengineering, Hong Kong University of Science and Technology, Hong Kong
    Author URL: https://ieeexplore.ieee.org/author/37086081646
    ID: 37086081646
    Order: 1
    Author Affiliations:
    • Department of Bioengineering, Hong Kong University of Science and Technology, Hong Kong
  • Author Name: Xiaojin Zhao
    Affiliation: College of Electronics Science and Technology, Shenzhen University, Shenzhen, China
    Author URL: https://ieeexplore.ieee.org/author/38550947700
    ID: 38550947700
    Order: 2
    Author Affiliations:
    • College of Electronics Science and Technology, Shenzhen University, Shenzhen, China
  • Author Name: Amine Bermak
    Affiliation: College of Science & Engineering, Hamad Bin Khalifa University, Doha, Qatar
    Author URL: https://ieeexplore.ieee.org/author/37275353200
    ID: 37275353200
    Order: 3
    Author Affiliations:
    • College of Science & Engineering, Hamad Bin Khalifa University, Doha, Qatar
    • Department of Bioengineering, Hong Kong University of Science and Technology, Hong Kong

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: 20 μm x 20 μm
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Biomedical applications, underwater imaging, potential use in smartphones and automotive systems
• benefits: Enhances image quality by recovering missing polarization data for better visual properties.

Supporting Organizations

• supported_by: Qatar National Research Fund

Manuscript Details

• publication_date: 29-31 Aug. 2017

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_bb0fba8b-991d-4464-b8ea-c0b1869cbf01-polarization_imaging_for_remote_sensing.json