MIGARS 2023
Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) 2023 is the first of its kind effort to have a joint event of two primary emerging IEEE Societies; Geoscience and Remote Sensing (GRSS) and Computational Intelligence Society (CIS). MIGARS aims to explore the confluence of advances in machine intelligence (MI) approaches, geoscience, geo-analytics(GA), and remote sensing (RS). Thanks to the revolutionary developments in remote sensor technology, data acquisitions have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources such as multi-platform RS sensors and IoT devices and making intelligent decisions on the fly. The focus of the conference is to connect researchers from computing, MI, GA and RS domains and look for the potential use of intelligent computational approaches for geo-data based applications and serve society at large. This Conference was technically co-sponsored by IEEE Geoscience and Remote Sensing Society (GRSS) and ACM Hyderabad Deccan Chapter.
Call for Papers
We invite original contributions in the form of full papers and posters on the following topics (list is not exhaustive)
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- Statistical machine learning
- Deep learning
- Evolutionary computing
- Computational intelligence
- Uncertainty quantification in geoscience and remote sensing
- Data analysis and spatial data visualization
- Temporal data analysis, prediction, time series analysis
- Expert systems
- Big data applications
- Geospatial data analytics
Important Dates
- Paper Submission open: June 1, 2022
- Paper Submission Deadline:
Sep 1, 2022Sept 30, 2022 - Notification of Acceptance: Oct 30, 2022
- Registration Open: Nov 1, 2022
- Early bird registration: Nov 20, 2022
- Final Camera-Ready Submission: Dec 10, 2022
- Conference Dates: 27-29 Jan, 2023
Paper Submission
- All the accepted and presented papers will be
published in the proceedings of IEEE and will be
uploaded to IEEE Xplore. - Authors of outstanding papers will be invited to
submit extended versions of Special Issues to
appear in IEEE GRSS journals.