Mapping, remote sensing, signature physics and terrain state

Abstract

Investigates compact mathematical representations of terrain data, explores automated learning of built elemental features unique to location, formulates new techniques for automatically retrieving Earth surface features, properties and patterns, explores sensing phenomenology and surface state as affected by terrain and weather, studies optimizing and adapting decision making based on changing geospatial conditions.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
e5b3e6a22298c21e39cf59b01fd00e5e

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Neural Network Machine Learning.
  • Radar Systems Engineering.

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