Cresson, R. (2018) A Framework for Remote Sensing Images Processing Using Deep Learning Techniques. IEEE Geoscience and Remote Sensing Letters, 16, 25-29.
https://doi.org/10.1109/LGRS.2018.2867949
https://www.researchgate.net/profile/Remi-Cresson/publication/327659573_A_Framework_for_Remote_Sensing_Images_Processing_Using_Deep_Learning_Techniques/inline/jsViewer/5e415f81299bf1cdb91da181?inViewer=1&pdfJsDownload=1&origin=publication_detail&previewAsPdf=false

has been cited by the following article:

• TITLE: GeoAI Technologies and Their Application Areas in Urban Planning and Development: Concepts, Opportunities and Challenges in Smart City (Kuwait, Study Case)

  AUTHORS: Abdelkhalek I. Alastal, Ashraf Hassan Shaqfa

  KEYWORDS: Smart City, Geospatial Artificial Intelligence, Machine Learning, Deep Learn-ing, Convolutional Neural Network, Geographic Information Systems

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.10 No.2, March 31, 2022

  ABSTRACT: Artificial intelligence has significantly altered many job workflows, hence expanding earlier notions of limitations, outcomes, size, and prices. GeoAI is a multidisciplinary field that encompasses computer science, engineering, statistics, and spatial science. Because this subject focuses on real-world issues, it has a significant impact on society and the economy. A broad context incorporating fundamental questions of theory, epistemology, and the scientific method is used to bring artificial intelligence (Al) and geography together. This connection has the potential to have far-reaching implications for the geographic study. GeoAI, or the combination of geography with artificial intelligence, offers unique solutions to a variety of smart city issues. This paper provides an overview of GeoAI technology, including the definition of GeoAI and the differences between GeoAI and traditional AI. Key steps to successful geographic data analysis include integrating AI with GIS and using GeoAI tools and technologies. Also shown are key areas of applications and models in GeoAI, likewise challenges to adopt GeoAI methods and technology as well as benefits. This article also included a case study on the use of GeoAI in Kuwait, as well as a number of recommendations.