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Zhenkai Zhang
Public Documents
2
Anomaly Detection Based on Sigmoid Metric and Object Area Filtering in Hyperspectral...
Hamid Esmaeili Najafabadi
and 3 more
March 28, 2022
This paper outlines a new approach to detect anomalies in hyperspectral images based on peripheral pixels. The proposed methodology contains two main steps. First, a new distance score is introduced based on the sigmoid function and root mean square error (RMSE). We estimate how likely the target pixel is an anomaly by averaging the new metric over its neighboring window. Second, a state-of-the-art method is applied to eliminate unacceptable objects according to their size. In this light, the objects whose size is out of an acceptable interval are removed. Comprehensive experimental evaluations have been conducted to confirm that the proposed method significantly outperforms several recent algorithms in accuracy and computational time.
Covariance matrix design of transmit waveform for MIMO dual-function radar-communicat...
Haozheng Wu
and 3 more
April 08, 2022
The multiple-input multiple-output (MIMO) dual-function radar-communication system can adjust the sidelobe level (SLL) by transmit beamforming to realize the communication function in the line-of-sight channel. However, a high SLL of the transmit beampattern can affect target detection performance. We propose a low-sidelobe covariance matrix design of transmit waveform method to address this issue. Minimizing the integrated sidelobe level is taken as the objective function with the constraint of the mainlobe lower and upper bounds. The optimal global solution can be obtained by the interior point algorithm since the objective function is semi-definite programming. Finally, the simulation results verify the performance in transmit beampattern and bit error rate.