SPIE 2015 - Automatic Target Recognition XXV (SPIE)

This conference will emphasize all aspects relating to the modern automatic and machine assisted target and object recognition technology: concepts such as model-based object/target recognition and tracking, neural networks, wavelets, information fusion, knowledge-based methods, adaptive and learning approaches, and advanced signal and image processing concepts for detection, tracking, and recognition for sonar/acoustic, IR, radar, laser radar, multispectral and hyperspectral sensors. Papers dealing with the entire spectrum of algorithms, systems, and architecture in ATR/AOR will be considered.
In particular papers on the model-based solutions will be considered. This includes hypotheses of the initial sets of the sensor data, predictive models of the target features and their relationships, techniques of evaluations/comparisons of the predicted models with the features extracted from the data. Suggested topics also include methods of imputation of missing or sparse data and subsequent evaluation of the results.
Another extremely important challenge for ATR is the evaluation and prediction of ATR performance given the practical limitation that data sets cannot represent the extreme variability of the real world. Methods are sought that allow a rapid insertion of new targets and adaptive algorithms capable of supporting flexible and sustained employment of ATR. A key technical challenge is the development of affordable ATR solutions that employ an open architecture to provide timely hardware and software insertion.
Papers presented at this conference will be automatically considered for inclusion in an ATR Special Issue in a refereed journal. Papers are solicited in the following and related topics:
IR-based Systems
detection, tracking, and recognition
phenomenological modeling of targets and background
polarization diversity
target/object and scene segmentation
performance evaluation issues.
Hyperspectral-based Systems Registration Issues
detection, tracking, and recognition
phenomenological modeling of targets and background
polarization and waveform adaptation
target/object and scene segmentation
performance evaluation issues.
Radar/Laser Radar-based Systems
high-range resolution radar techniques
joint radar target tracking and classification approaches
ultra-wide band radar techniques
Doppler, polarization, and waveform diversity for target classification
detection, tracking, recognition, segmentation, target, and clutter modeling
multisensor processing and fusion
performance evaluation issues.
Sonar/Acoustic and Seismic-based Systems
inverse scattering issues
direct scattering of acoustic waves
tomographic image formation
material identification
ultra-wide band methods for target detection and classification
multisensor fusion
biosensor systems
performance evaluation issues.
New Methodologies
information theoretical approaches in ATR
distributed and centralized sensor decision making
model-based object recognition
neural networks for ATR applications
wavelet decomposition methods for ATR
machine learning techniques
mission adaptive systems
data characterization
performance modeling
ATR/AOR development tools
ATR/AOR architecture
algorithms for human detection, tracking, and activity recognition.