Artificial Intelligence and Blockchain-Based Trading Framework for Satellite Images

Faiza Hashim, Alramzana Navaz, Nazar Zaki, Khaled Shuaib, Mohamed Adel Serhani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The convergence of artificial intelligence (AI) and the space industry is a crucial step towards advancing humanity. It has the potential to create innovative technologies and services, revolutionize existing practices, and provide valuable insights to space researchers. Many private investors and government organizations possess high demand for satellite images for various reasons, including weather forecasting, global disaster management (e.g., floods, earthquakes, and tsunamis), space object location, land records, geolocations, and international shipment management. However, the traditional centralized economic model for space business is costly to implement in terms of infrastructure, deployment, security risks, ownership, and marketing of the data. Additionally, the initial acquisition of satellite images is usually retrieved in a raw format without any authentication or interpretation. Consequently, the integration of AI and the space industry has the potential to revolutionize the existing model by unlocking new avenues to monetize satellite data by introducing automated processes that are more secure and cost-effective. In this paper, we aim to use deep learning models that are capable of automatically analyzing and classifying raw satellite images into valuable and actionable formats. Furthermore, we are inspired to design a blockchain-based solution to make satellite image datasets available to private and government agencies through a user-friendly and secure marketplace. The proposed solution will focus on a decentralized socio-economic model using blockchain to increase the security of transactions. Blockchain networks facilitate the fair exchange of transactions using smart contracts that will execute and enforce agreement rules among the blockchain participants. The proposed research will mainly focus on the efficient design of smart contracts for satellite data blockchain. In addition, our integrated image quality assessment method is built and tested to accurately group high-quality satellite images into valid categories to make the trading and marketing process more efficient.

Original languageEnglish
Title of host publication2023 International Wireless Communications and Mobile Computing, IWCMC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages786-792
Number of pages7
ISBN (Electronic)9798350333398
DOIs
Publication statusPublished - 2023
Event19th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2023 - Hybrid, Marrakesh, Morocco
Duration: Jun 19 2023Jun 23 2023

Publication series

Name2023 International Wireless Communications and Mobile Computing, IWCMC 2023

Conference

Conference19th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2023
Country/TerritoryMorocco
CityHybrid, Marrakesh
Period6/19/236/23/23

Keywords

  • Satellite image marketing
  • blockchain
  • image categorization
  • image quality assessment
  • smart contracts

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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