基于DFI一体化网络的水下抗干扰目标跟踪方法

Computer Science

• Tracking Algorithm 100%
• tracking control 100%
• Feature Extraction 50%
• Visible Spectrum 50%
• Control Algorithm 50%
• Feature Extraction Network 50%
• Feature Information 50%
• Target Feature 50%
• Vector Dimension 50%
• Kalman Filter 50%

Engineering

• Target Tracking 100%
• Tracking Algorithm 100%
• Autonomous Underwater Vehicle 66%
• Feature Extraction 33%
• Frame Rate 33%
• Control Algorithm 33%
• Kalman Filter 33%
• Feature Extraction Network 33%
• Rate Loss 33%