Special Issue on Big Data and AI for Remote Sensing
Geo-spatial Information Science Special Issue Call for Papers
Deadline: 15 May 2019
Big Data and Artificial Intelligence (AI) have become part of our everyday lives over the past few years. How to apply these techniques to remote sensing image processing, and make remote sensing image interpretation more intelligent and efficient, is a matter of concern.
We are organizing this Special Issue with Geo-spatial Information Science (GSIS) in order to sharing remote sensing new technologies, using Big Data and AI to solve new problems in the field of remote sensing. The topic will include, but not be limited to, the following themes:
- Theories and models of big data and AI for remote sensing
- New algorithms and architectures of big data and AI for remote sensing（sparse representation, deep learning, reinforcement learning, etc.）
- Intelligent interpretation for remote sensing（image registration, feature extraction, pixel-object-scene level classification, change detection, target recognition, object tracking, etc.）
- Spatiotemporal data mining and intelligent service of remote sensing
- Multi-source data fusion of big data and AI for remote sensing
- Applications of big data and AI for remote sensing (in agriculture, geology, natural resources, urban studies, ecosystem, disaster etc.)
Manuscripts should be submitted online at https://mc.manuscriptcentral.com/tgsi. Submitted articles should not have been published previously, or be consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process.
All accepted manuscripts will be published Open Access (OA) without an article publishing charge (APC). All article publishing charges (APC) will be covered by Wuhan University, so you can enjoy the benefits of open access at no cost. Perspective authors are recommended to prepare their manuscript by following the instructions for authors here.
Geo-spatial Information Science is indexed by the ESCI and other databases such as Scopus, DOAJ, CSCD and GeoBase.