3 papers
eess.IV2021
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
Thousands of scanned historical topographic maps contain valuable information covering long periods of time, such as how the hydrography of a region has changed over time. Efficien…
cs.CV2021
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
The increasing availability and accessibility of numerous overhead images allows us to estimate and assess the spatial arrangement of groups of geospatial target objects, which can…
cs.AI2021
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol +4
Historical maps contain detailed geographic information difficult to find elsewhere covering long-periods of time (e.g., 125 years for the historical topographic maps in the US). H…