An Interactive Machine Learning Approach to 3D Geographical Region Annotation

Abstract

This document presents the background, implementation detail, and demonstration of operation for the 3D extension of U.S. Naval Research Laboratory's proprietary Geographic Region Annotation Tool (GRAIT). This report serves to explain the need for and demonstrate a fully-featured 3D geographic region segmentation tool with accompanying visualization and analysis suite. Current and near-future features are also discussed and proposed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 19, 2022
Accession Number
AD1157343

Entities

People

  • Chris J. Michael
  • Nicholas M. Studer
  • Steven M. Dennis

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Languages
  • Computer Vision
  • Data Sets
  • Digital Elevation Models
  • Geographic Regions
  • Geometry
  • Human-Machine Interaction
  • Human-Machine Systems
  • Image Processing
  • Image Segmentation
  • Information Science
  • Information Systems
  • Machine Learning
  • Point Clouds
  • Satellite Imaging
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Research Science/Academic Research

Technology Areas

  • AI & ML