The Long-wave Infrared Spatial Heterodyne Interferometer may have interference fringe distortion due to non-uniform stress acting on the optical components under cryogenic conditions， which will cause performance degradation of th

The resolver amplitude error and quadrature error are expressed in the angular velocity spectrum as the second harmonic of the rotational frequency， which is the main source of the resolver angle measurement error and affects the

In order to achieve accurate dynamic model identification of the hyper-redundant manipulator， a semiparametric dynamic model identification method based on iterative optimization and neural network compensation was proposed. First

To solve the problem of complex and time-consuming optical path adjustment after probe replacement in Atomic Force Microscope(AFM) systems， this paper presents the first proposal to achieve the consistency of the replaced probe wi

Optical axis consistency is an important indicator for measuring the performance of multi-sensor optoelectronic systems. In order to address the issue of narrow working spectral range and limited system flexibility in the multi-se

In view of the problems that existing contact measurement methods can only measure one or two parameters after clamping and positioning， and low inspection efficiency， and combining the machine vision inspection technology has out

In order to meet the high-precision， high-efficiency， and anti-interference detection requirements of point diffraction interference measurement for phase unwrapping algorithms. Atrous Spatial Convolutional Networks -based phase u

Medical image fusion based on Generative Adversarial Network （GAN） is one of the research hotspots in the field of computer-aided diagnosis. However， the problems of GAN-based image fusion methods such as unstable training， insuff

As one of the inherent properties of objects， sound can provide valuable information for target detection. At present， the method of target positioning only by monitoring environmental sound is less robust. To solve this problem，

To solve the problems of texture detail blurring and low contrast in multimodal medical image fusion， a multimodal medical image fusion method with structural-functional crossed neural networks was proposed. Firstly， this method d

In response to the high hardware requirements associated with the deployment of current deep learning-based remote sensing image super-resolution reconstruction models， this paper presented a lightweight， re-parameterized residual

A model was proposed to address issues with low segmentation accuracy， leakage of tiny cracks， and background interference in the segmentation process of concrete surface cracks. The model combined linear guidance and mesh optimiz

Rapid and accurate detection of flue-cured tobacco leaf grade is integral to the advancement of tobacco intelligent equipment，promoting refined management of agricultural products. Aiming at the issue that it is difficult to disti