Feature Extraction
Feature Extraction
Center of Excellence for Geospatial Information Science (CEGIS)
Feature extraction is the process of extracting features of interest from geospatial data using specialized approaches.
Extracted features are later used to generate informative datasets, which can be further utilized for classification or prediction.
Deep learning (DL) technology is now widely used for feature extraction from geospatial data.
Knowledge extraction
Knowledge extraction
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2025 CEGIS Annual Research Meeting
The Center of Excellence for Geospatial Information Science (CEGIS) was proud to host the 2025 CEGIS Annual Research Meeting July 22-24, 2025. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our researchers and their...
Feature extraction
Feature extraction is the process of extracting features of interest from geospatial data using specialized approaches. Extracted features are later used to generate informative datasets, which can be further utilized for classification or prediction. Deep learning (DL) technology is now widely used for feature extraction from geospatial data.
Hydrographic feature extraction
Many methods exist to extract features from geospatial data. This work focuses on development of automated techniques for extracting and validating hydrographic features to assist with updates to the National Hydrography Dataset.
3DEP Feature extraction and conflation
Ongoing research in CEGIS has focused on creating semantically-accessible terrain features for the nation from the National Geospatial Program’s (NGP) pixel-based 3D Elevation Program (3DEP) data.