4 papers
Detecting Legend Items on Historical Maps Using GPT-4o with In-Context Learning
Sofia Kirsanova, Yao-Yi Chiang, Weiwei Duan
Historical map legends are critical for interpreting cartographic symbols. However, their inconsistent layouts and unstructured formats make automatic extraction challenging. Prior…
DIGMAPPER: A Modular System for Automated Geologic Map Digitization
Weiwei Duan, Michael P. Gerlek, Steven N. Minton +8
Historical geologic maps contain rich geospatial information, such as rock units, faults, folds, and bedding planes, that is critical for assessing mineral resources essential to r…
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…
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…