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  • session 4

    Title

    Earth Observation Data Systems and Technology

    Description

    The focus is on the development and operations of Earth Observation-related data processing systems. The emphasis of the session is on the challenges of emerging information and web-based technology (e.g. Big Data, Cloud-based operations, internet of things, crowd sourcing) for acquisition, communication, processing, dissemination and archiving of data. The session also covers innovative methods for making data analysis ready, the extraction of information from these resulting large data sets (e.g. machine learning and artificial intelligence) and methods for making the information available timely to decision makers. This session also includes the evolving data processing infrastructure like federated Cloud systems and digital twin.

    Date

    2023-10-04

    Time

    15:00

    Room

    BCC B1

    IPC members
    • Co-Chair: Ms. Ana-Mia Louw, Simera Sense, South Africa;

    • Co-Chair: Mr. James Graf, Jet Propulsion Laboratory, United States;

    papers

    Order

    Time

    Paper title

    Mode

    Presentation status

    Speaker

    Affiliation

    Country

    1

    15:00

    ACCESS AND PROCESSING OF SATELLITE DATA WITHIN THE COPERNICUS DATA SPACE ECOSYSTEM

    13

    confirmed

    Mr. Marcin Niemyjski

    CloudFerro

    Poland

    2

    15:13

    A Web Hub for Collaborative Research through Online Analysis and Visualization of Earth Observation Satellites Data

    13

    confirmed

    Dr. WEI WAN

    China Aerospace Science and Technology Corporation (CASC)

    China

    3

    15:26

    Polytope: Feature Extraction for Improved Access to Petabyte-Scale Earth Observation Datacubes

    13

    confirmed

    Ms. Mathilde Leuridan

    Germany

    4

    15:39

    PRISMA Toolbox, a desktop tool for the ingestion and processing of hyperspectral missions data

    13

    withdrawn

    Dr. Cristoforo Abbattista

    Planetek Italia

    Italy

    5

    15:52

    AI Super Resolution images from IAI optical EO satellites

    13

    confirmed

    Mr. Andrei Kolin

    Israel Aerospace Industries Ltd.

    Israel

    6

    16:05

    synthesizing photorealistic satellite imagery with semantic layout conditioning using denoising diffusion probabilistic models

    13

    confirmed

    Mr. Orkhan Baghirli

    Syn10

    Estonia

    7

    16:18

    Denoising and Super-Resolution of Multi-Source Remote Sensing Images Using Deep Learning Techniques

    13

    confirmed

    Mr. Kaige Wang

    China Aerospace Science and Technology Corporation (CASC)

    China

    8

    16:31

    Investigating the Use of ChatGPT in Satellite Image Analysis for Aeronautical Engineering Applications

    13

    confirmed

    Ms. Dahyun Lee

    Korea Aerospace Research Institute (KARI)

    Korea, Republic of