Conférence SPIE Optics + Photonics 2024 (San Diego, 18 au 22 Aout 2024)

la conférence SPIE Optics + Photonics se déroulera du 18 au 22 Aout 2024 à San Diego (Californie, USA).

Plus d’infos ci-dessous:

Read the abstract submission guidelines:
  • Abstracts due: 7 February 2024
  • Author Notification: 29 April 2024
  • Poster PDFs due from poster authors: 24 July 2024
  • Manuscripts due: 31 July 2024
  • Meeting Dates: 18 – 22 August 2024
  • Meeting Website:
To submit:
  • Go to the OP423 call for papers:
  • From the OP423 call for papers, click on the “Submit an abstract” button, sign in (or create an account) and follow the submission wizard.

Each application track is a topical area with broad-range interest that can be selected during the abstract submission process if relevant to your research. All presentations selected into the application track can be surfaced together using an application track filter in the program on the SPIE website. Listing presentations together on a specific topic within the program helps participants more easily locate your presentation in their area of interest.

If your submission is related to an application track below, indicate the appropriate track when prompted during the submission process.
  • AI/ML: Papers that highlight the use of artificial intelligence, machine learning, and deep learning to create and implement intelligent systems across multiple sectors, technologies, and applications.
  • Sustainability: Papers that highlight the use of optics and photonics for renewable energy, natural resource management, sustainable manufacturing, and greenhouse gas mitigation in support of the UN Sustainable Development Goals.

All presenting authors, including keynote, invited, oral, and poster presenters, agree to the following conditions by submitting an abstract:
  • Register and pay the author registration fee
  • Oral presenters: recording and publication of your onsite presentation (slides synched with voice) for publication in the Proceedings of SPIE in the SPIE Digital Library
  • Poster presenters: submit a poster PDF and optional preview video, by the advertised due dates, for publication in the Proceedings of SPIE in the SPIE Digital Library; poster PDFs may also be published and viewable in the program during and immediately after the event
  • Submit a 2-page-minimum manuscript, by the advertised due date, for publication in the Proceedings of SPIE in the SPIE Digital Library
  • Obtain funding for registration fees, travel, and accommodations
  • Ensure that all clearances, including government and company clearance, have been obtained to present and publish. If you are a DoD contractor in the USA, allow at least 60 days for clearance
  • Attend the meeting
  • Present at the scheduled time.
Papers are solicited in all areas of Imaging Spectrometry, including:

  • machine learning coupled to spectral applications
  • unmanned aerial systems (UAS) and spectroscopy (hardware and applications)
  • emergency response, disaster recovery, and remediation
  • geology and mineralogy for earth and planetary applications
  • ocean, coastal ocean, and inland waters
  • vegetation monitoring and health assessment
  • homeland security, defense, and cartography
  • atmospheric temperature and water vapor sounding
  • chemistry and air pollution
  • meso- and micro-scale applications: in-situ, process control, biology, medicine, microscopy, forensics
  • spectro-polarimetry.

  • active and passive spectrometer design and development for all spectral regions from the UV to the thermal IR, for space, airborne, UAV/UAS, and ground-based systems
  • verification and calibration methods and techniques
  • simulation techniques in sensor design and characterization
  • sensor artifact assessment and suppression
  • novel architectures and spectrometer designs
  • enabling technologies
  • high-resolution imaging spectrometers (i.e., greenhouse gas measurements).

  • real-time and off-line data processing and exploitation methods and algorithms
  • spectral signature libraries and databases
  • laboratory and field measurement data-collection techniques
  • physics-based spectral phenomenology understanding and modeling
  • atmospheric compensation or correction techniques
  • radiative transfer modeling
  • advances in detection, classification, and characterization
  • sensor and data fusion
  • deep learning or machine learning based approaches for spectral processing task such as classification, anomaly detection, de-noising, bad pixel interpolation, etc.