Testing the limits of data fusion algorithms and SAR images for detecting moving objects- Emperor penguins as a case study
Abstract
Relative to common optical remote sensing, the potential for Synthetic Aperture Radar (SAR) imagery is not as fully explored, especially for tracking small, mobile objects. SAR products are increasingly available in the public domain, which facilitates greater research partnerships. There is potential to capture objects and spatial clusters within SAR scenes to track movement over time, in situations where optical images may not be available (e.g., in darkness or substantial cloud cover). We will investigate how small of a target SAR can reliably detect and capture as moving objects or clusters of objects, using wildlife as a case study. We will test this novel method using SAR imagery to identify mobile objects, namely penguins in Antarctica.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 05, 2025
- Source ID
- FA23862414052
Entities
People
- Michelle Larue
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Canterbury