Image & Signal Processing
Sensors used in current commercial and military settings provide great capability and information for the
user. However, without well–planned image and signal processing algorithms, the quantity of information may be overwhelming
and leave many potential capabilities unrealized. Dynetics’ algorithm expertise has been applied to improve and access the
performance of sensors used in various areas:
- Missile Seekers,
- Border Security,
- Active Protection Systems,
- Unmanned Aerial Vehicle Payloads, and
- Industrial Automation
- Fire Control Sensors
In the area of missile seekers, Dynetics has developed and evaluated image processing algorithms for target
detection and classification, aimpoint selection, state estimation, tracking, countermeasure rejection, optical flow, and image
registration. A specific example algorithm being developed for an infrared sensor is a local–area–processing algorithm that
enables small intensity differences to be seen even in the presence of large intensity differences across the image. The utility of the
algorithm is being demonstrated in an embedded field programmable gate–array (FPGA) implementation. Other FPGA–related efforts include the
optimization of image compression/decompression algorithms for unmanned aerial vehicle applications.
Dynetics’ development process includes initial algorithm prototyping in non–real–time programming languages, followed by optimization
and real–time implementations in digital signal processor or FPGA environments. Assessments are conducted at each stage of the process to ensure that customer
requirements for throughput and performance are met. The ever–increasing use of sensors with larger array sizes and multi–dimensional sensing capabilities
will continue to drive the need for additional and improved algorithms.
As your developer of advanced image and signal processing algorithms, Dynetics commits to leverage our experience and continual study of developing
technologies to meet your image and signal processing challenges.
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