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Knowledge Extraction

Knowledge extraction is the process of finding information and features in data.

Knowledge extraction in CEGIS aims to investigate automated technologies for extracting features such as hydrography, terrain, and buildings. The long-term goals are to develop innovative approaches to solve geospatial tasks to leverage existing National Map data to maximize the utility of USGS data. 

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Query use cases

Computing graph-based queries involve multiple relations across hierarchies of data. Queries are closely associated with questions using language. This project develops query use case approach using a grammar ontology. Queries focus on topographic information of diverse thematic types.
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Query use cases

Computing graph-based queries involve multiple relations across hierarchies of data. Queries are closely associated with questions using language. This project develops query use case approach using a grammar ontology. Queries focus on topographic information of diverse thematic types.
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Terrain features

Terrain refers to the land surface and its many components. Terrain data, such as information about elevation, slope, aspect (the orientation of the land), can play an integral part in many land change and management studies. These data are particularly useful in the form of digital elevation models (DEMs).
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Terrain features

Terrain refers to the land surface and its many components. Terrain data, such as information about elevation, slope, aspect (the orientation of the land), can play an integral part in many land change and management studies. These data are particularly useful in the form of digital elevation models (DEMs).
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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.
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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.
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Deep learning (DL)

Deep learning (DL) is a subset of machine learning, with the difference that DL algorithms can automatically learn representations from data such as images, video, or text, without introducing human domain knowledge. The word "deep" in deep learning represents the many layers of algorithms, or neural networks, that are used to recognize patterns in data.
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Deep learning (DL)

Deep learning (DL) is a subset of machine learning, with the difference that DL algorithms can automatically learn representations from data such as images, video, or text, without introducing human domain knowledge. The word "deep" in deep learning represents the many layers of algorithms, or neural networks, that are used to recognize patterns in data.
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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.
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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.
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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.
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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.
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