This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Ecopia Tech Corporation. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Innovations of Hongbo Wang in Artificial Parcel Data Generation
Introduction
Hongbo Wang is a notable inventor based in Hebi, China. He has made significant contributions to the field of machine learning, particularly in the generation of artificial parcel data. With a total of two patents to his name, Wang's work is paving the way for advancements in geospatial data processing.
Latest Patents
Wang's latest patents focus on methods and systems for generating artificial parcel data. One of the methods involves accessing geospatial imagery that depicts at least one building and its surrounding area. By applying machine learning models to this imagery, he generates artificial parcel data that represents the shape and location of legal land parcels occupied by buildings. Another patent describes a method that includes accessing geospatial imagery depicting multiple buildings and surrounding areas. This method generates artificial parcel data in the form of a distance-transform raster map, which is then converted into a vector map containing polygons that represent the boundaries of each legal land parcel.
Career Highlights
Hongbo Wang is currently employed at Ecopia Tech Corporation, where he continues to innovate in the field of geospatial technology. His work is instrumental in enhancing the accuracy and efficiency of land parcel data generation.
Collaborations
Wang collaborates with talented individuals such as Yuanming Shu and Shuo Tan, contributing to a dynamic team focused on advancing machine learning applications in geospatial data.
Conclusion
Hongbo Wang's innovative work in artificial parcel data generation showcases the potential of machine learning in transforming geospatial data processing. His contributions are significant in the realm of legal land parcel representation and will likely influence future developments in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile