Multi-Sensor Fusion for Buried Object Detection
Abstract
During this project, we will explore new methods for multi-resolution multi-sensor target detection, target classification, and data fusion given uncertain and imprecise groundtruth. These methods will be developed for subsurface object detection using electromagnetic in-duction (EMI) and ground penetrating radar (GPR) data. We aim to develop sensor-specific target detection and classification algorithms and, then, develop fusion methods that can address mis-registration between sensor sources and well as uncertainty and imprecision in ground-truth of training data. Sensor-specific prescreening, classification and fusion algorithms will be developed during this project. The sensor-specific algorithms will be designed to leverage the unique characteristics and capabilities of each EMl and GPR sensor being considered. During this proposed work, the following three research objectives will be addressed: I. Develop prescreening algorithms that identify potential target locations, i.e., alarms using: (a) Sensor-specific EMI and GPR approaches (b) Joint EMI-GPR approaches 2. Study and develop target classification algorithms for EMI and GPR data that appropriately account for imprecise and uncertain label information. 3. Investigate and implement alarm and decision fusion approaches that account for spatial sensor mis-registration. Throughout the study and implementation of these three research objectives, extensive evaluation and comparison to existing methods in the literature will be conducted. Regression testing will be used as improvements are made to the detection system overall to ensure previous performance is maintained or improved upon. Results will be evaluated using Receiver Operating Characteristic (ROC) curves as well as confusion matrices and other standard evaluation metrics.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710213
Entities
People
- Alina Zare
Organizations
- Army Contracting Command
- United States Army
- University of Florida