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Laboratory
for Advanced Signal and Image Processing
The Laboratory for Advanced Signal and Image Processing (LASIP)
has research interests in novel techniques for multi-dimensional
signal analysis and processing of data for military, medicine,
and remote sensing applications. The current focus of the research
effort is on developing multi-scale algorithms for military applications;
specifically, on automatic target detection/recognition (ATD/R)
and missile tracking. The goal is to exploit the power of multi-scale
signal and image processing techniques to develop faster and
better algorithms. In particular, multi-dimensional continuous
wavelet transforms (MCWT) and fractal analysis provide a compact
representation of an image or a target of interest.
Representative
current projects include the following:
- Analysis of
Clutter Complexity
- ATD/R Algorithms
for Forward Looking Infrared (FLIR) and Synthetic Aperture Radar
(SAR) Sensors
- Automatic
Target Recognition of Template-Based SAR
- Continuous
Wavelet Transform-Based Algorithms for Detection and Classification
of Targets in FLIR Images
- Image Compression
Algorithms Using Discrete Wavelets
- Image Quality
Evaluation Based on Continuous Wavelet Transform
- Selection
of Optimized Features for ATD/R in Multiple Sensors
- Studies of
Extended Fractal Features
- Target Tracking
in Noisy Environment Using Spatio-Temporal Wavelets
- Texture-based
SAR Target Feature Extraction
- Tracking,
Detection, and Identification of Targets in TV Imagery
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