GeoAI in Mapping II

Type: Virtual Paper
Theme:
Sponsor Groups:
Poster #:
Day: 4/10/2021
Start / End Time: 4:40 PM / 5:55 PM (PST)
Room: Virtual 43
Organizers: Samantha Arundel, Yao-Yi Chiang
Chairs: Samantha Arundel

Call for Submissions

The use of artificial intelligence in the geographic realm (GeoAI) has made great inroads to answering spatial questions in the GIS, cartography and mapping fields. There are many applications that successfully incorporate AI solutions with mapping problems such as geographic feature extraction, geo-ontology design, understanding of place, historical map digitization, vehicle trajectory prediction, indoor navigation, and gazetteer conflation. A fast-growing field of inquiry, this session, presented in 2020 as AI for Mapping, will present current research and describe technologies continuing to be developed today and in the future. We welcome any presenters addressing these and any related subjects, including both basic and applied research on the role of GeoAI in addressing mapping issues.


Description

The use of artificial intelligence in the geographic realm (GeoAI) has made great inroads to answering spatial questions in the GIS, cartography and mapping fields. There are many applications that successfully incorporate AI solutions with mapping problems such as geographic feature extraction, geo-ontology design, understanding of place, historical map digitization, vehicle trajectory prediction, indoor navigation, and gazetteer conflation. A fast-growing field of inquiry, this session, presented in 2020 as AI for Mapping, will present current research and describe technologies continuing to be developed today and in the future. We welcome any presenters addressing these and any related subjects, including both basic and applied research on the role of GeoAI in addressing mapping issues.


Agenda

Type Details Minutes Start Time
Presenter Tolga Bakirman*, Istanbul Technical University, Elif Sertel, Istanbul Technical University , Automatic Building Segmentation using Deep Learning Techniques: Case Study for Istanbul, Turkey 15 4:40 PM
Presenter Yasin Wahid Rabby*, University of Tennessee, Md Belal Hossain, Department of Sociology, Oklahoma State University, Joynal Abedin, University of Dhaka, Bangladesh, Application and Comparison of GIS-based Machine Learning Methods for Landslide Susceptibility Mapping in Three Upazilas of Rangamati Hill District, Bangladesh. 15 4:55 PM
Presenter Andong Ma*, Texas A&M University, Anthony M. Filippi, Texas A&M University, Burak G├╝neralp, Texas A&M University, Hyperspectral image classification using fast sequential feature extraction and recurrent neural networks 15 5:10 PM
Presenter Yue Lin*, The Ohio State University, Ningchuan Xiao, The Ohio State University, Using deep learning and high accuracy regions for vehicle detection and traffic density estimation from traffic camera feeds 15 5:25 PM
Presenter Jian Lange*, Esri, Witold Frazek, Esri, Carsten Lange, Cal Poly Pomona, Apply GIS and machine learning to predict urban growth 15 5:40 PM

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