Title: Sequential Adaptive Multi-Modality Target Detec-tion and Classification using Physics-Based Models
1Sequential Adaptive Multi-Modality Target
Detec-tion and Classification using Physics-Based
Models
- Professor Andrew E. Yagle (PI) (EECS)
- Mine detection, channel identification
- Professor Alfred O. Hero III (EECS)
- Sensor scheduling, nonparametric statistical
models - Professor Kamal Sarabandi (Director, Rad Lab)
- Vehicle and foliage physics-based modelling
- Assistant Professor Marcin Bownik (Mathematics)
- Basis functions and mathematical modelling
2Sequential Adaptive Multi-Modality Target
Detec-tion and Classification using Physics-Based
Models
- Professor Andrew E. Yagle
- Jay Marble, Siddharth Shah
- Professor Alfred O. Hero III
- Chris Kreucher, Doron Blatt, Jose Costa, Neal
Patwari, Raghuram Rangarajan, Krishnakanth
Subramanian, Mike Fitzgibbons, Cyrille Hory - Professor Kamal Sarabandi
- Mark Casciato, Il-Suek Koh, M. Dehmolaian
3Sequential Adaptive Multi-Modality Target
Detec-tion and Classification using Physics-Based
Models
- PROJECT SUPERVISION
- Dr. Douglas Cochran (DARPA)
- Dr. Russell Harmon (ARO)
- INDUSTRY COLLABORATION
- Veridian (formerly ERIM) of Ann Arbor
4Sequential Adaptive Multi-Modality Target
Detec-tion and Classification using Physics-Based
Models
- Mine detection Yagle, Marble
- Vehicle modeling Sarabandi, Casciato
- Foliage modeling Sarabandi, Koh, Dehmolaian
- Sensor scheduling Hero, Kreucher
- Nonparametric statistics Hero, Blatt
- Distributed detection Hero, Patwari
- Basis functions Yagle, Bownik
5HERO Accomplishments
- Developed non-parametric statistical modelling
using MRFs for targetclutter vs. clutter - Developed target model reduction technique
- Developed distributed multisensor detection using
hierarchical sensor aggregation - Developed myopic sequential adaptive sensor
management for tracking
6Sarabandi Accomplishments
- Performed phenomenological studies of
- (a) physics-based clutter models
- (b) physics-based target models
- Developed SAR/INSAR image simulator
- Developed time-reversal method for foliage
camouflaged target detection - Developed iterative frequency-correlation-based
forest radar channel identification
7YAGLE Accomplishments
- Developed mine detection algorithm from SAR using
range migration imaging (with Jay Marble) - Developed 2-D and3-D blind deconvolution algs for
radar channel identification (with Siddharth
Shah) - Developing basis-function-based inverse
scattering approach (work in progress with Marcin
Bownik)
8Synergistic Activities Hero
- VERIDIAN INTL, Ann Arbor
- C. Kreucher sensor management scheduling
- K. Kastella sensor management
- J. Ackenhusen mine detection
- ARL NAS-SED review panel member
- N. Patwari (student) summer internship
- ERIM B. Thelen, N. Subotic collaborators
9Synergistic Activities Sarabandi
VERIDIAN John Ackenhusen BAE Norm Byer FCS
COMMUNICATIONS Jim Freibersiser (DARPA
PM) Barry Perlman (CECOM) ARL Ed Burke (mm
wave), Brian Sadler, Bruce Wallace
10Synergistic Activities Yagle
- VERIDIAN INTL, Ann Arbor, MI
- Jay Marble, student (ARO mine research)
- Brian Fischer, student (Low RCS material design)
- Chris Wackerman, former Ph.D. student
11Research Project Objectives
- Develop overall algorithm for detection of
Tanks under trees landmines - Initial focus TUT (can hit the ground running)
- Features of algorithm sequential detection,
sensor management selection, physics-based
models - Simplify stochastic physics-based models using
functional-analysis-based approximation - Evaluate the resulting procedure on realistic
models (statistical simulations) and real data
12Issues Overall Algorithm
- How to select sensing modalities?
- What is value-added for combining other
modalities? Is it worth additional cost? - How do we implement data-adaptive
configu-rations, e.g., selection of
sources/receivers, based on scattering of targets
and propagation in medium? - What are the figures of merit?
- How to select decision thresholds?
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14Summary
- Sequential detection and classification
- Sensor scheduling and management
- Physics-based models with dimensionality reduced
using functional analysis - Vehicle and canopy scattering models already at
UM permit test evaluations