Aiming at the problem that he gray level of different spectral images varies greatly and the traditional feature extraction algorithm is difficult to maintain the local precision and edge detail of the image, a multi-channel multi-spectral image registration method based on A-KAZE algorithm. In the registration process, the Fast Explicit Diffusion (FED) numerical analysis framework is used to solve the nonlinear diffusion filter equation, and the nonlinear scale space is constructed. The feature points are obtained by calculating the Hessian matrix of each pixel; The invariant image feature vectors are constructed by the Modified-Local Difference Binary (M-LDB) descriptor. Then, the feature vectors are matched by KNN using Hamming distance, and the mismatched points are eliminated by M-estimator Sample Consensus (MSAC). Finally, the transformation matrix is calculated based on projection transformation model. For multi-channel multi-spectral images, the optimal registration route is calculated by level-by-level registration method, and the image registration is realized by registration strategy and transformation matrix. Multispectral phenological observation data were selected to verify the image registration effect of the algorithm, and compared with SIFT, SURF, KAZE algorithm. Experimental results show that this method can achieve sub-pixel registration accuracy on any two images, and has strong robustness and faster speed.
In order to reduce the optical intensity of backscattering lights of the Cassegrainian optical antenna in the optical system of the laser communication terminal and improve the optical isolation of laser communication system, this paper proposes a method for designing high isolation level Cassegrainian optical antenna by increasing the characteristic value of the optical intensity of backscattering lights E/N. The method aims to improve the optical antenna isolation through reducing the optical intensity of backscattering lights along the incident optical path based on analyzing the theoretical model of the optical intensity of backscattering lights BRDF. A Cassegrainian optical antenna for laser communication is designed in this paper, and the method is used to optimize the isolation of this optical antenna by custom operands in ZEMAX. Then using TracePro software builds the optical structure model of this optical antenna before and after optimization, simulate the optical intensity of backscattering lights of each model, calculate and analyze the isolation of each model by using simulation data respectively. It is show that the backscattering rate of the system decreases from 0.0011956 to 0.00007515, and the isolation decreases from -29.224dB to -41.24dB. Optimization has improved the isolation 12.017dB of the optical system through use the method.
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