8 citations · 16 across the 5 of their papers we have counts for
5 papers
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS
Zhenlong Li, Huan Ning, Song Gao +13
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic know…
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
Hsiuhan Lexie Yang, Jiangye Yuan, Dalton Lunga +3
Establishing up-to-date large scale building maps is essential to understand urban dynamics, such as estimating population, urban planning and many other applications. Although man…
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches
Dalton Lunga, Lexie Yang, Budhendra Bhaduri
Very large overhead imagery associated with ground truth maps has the potential to generate billions of training image patches for machine learning algorithms. However, random samp…
Curating Transient Population in Urban Dynamics System
Gautam S. Thakur, Kevin A. Sparks, Robert N. Stewart +2
For past several decades, research efforts in population modelling has proven its efficacy in understanding the basic information about residential and commercial areas, as well as…
PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data
Gautam S. Thakur, Budhendra L. Bhaduri, Jesse O. Piburn +3
Geospatial intelligence has traditionally relied on the use of archived and unvarying data for planning and exploration purposes. In consequence, the tools and methods that are arc…