3results about How to "Realize long-distance detection" patented technology

This invention provides a novel scanning laser wind-measuring radar, employing a high-stability, narrow-linewidth semiconductor laser as the transmitting device. A high-speed optical switch precisely modulates the continuous laser in the time domain to generate ideal laser pulses. High-power amplifiers and low-noise amplifiers are used to enhance the transmitted power and echo signal quality, significantly compensating for the decrease in atmospheric echo power and improving range resolution and wind speed accuracy. The high-stability, narrow-linewidth laser improves the signal-to-noise ratio through a triple mechanism of increased coherence efficiency, reduced background noise, and sharpened spectral resolution, enabling long-range detection. When using a transceiver telescope system, it avoids a reduction in the scanning field of view due to a decrease in signal-to-noise ratio. The semiconductor laser solution is lighter than fiber lasers, suitable for airborne platforms, and enables miniaturized laser wind-measuring radar equipment. Furthermore, the high-stability, narrow-linewidth semiconductor laser used meets temperature and vibration stability requirements, ensuring the long-term reliability of the wind-measuring radar in field environments.

The invention discloses a road line detection method, device and equipment based on a radar neural network and a medium, and relates to the technical field of road line detection, and the method comprises the steps: obtaining target point cloud data corresponding to a to-be-detected road, and converting the target point cloud data into grid feature data; inputting the grid feature data into a radar neural network model to obtain a confidence coefficient and a coding value which are output by the radar neural network model and correspond to the grid feature data; and according to the confidence coefficient and the coding value, based on a density clustering algorithm, clustering the grid special data, and based on a clustering result, detecting a road line corresponding to a road to be detected. According to the technical scheme, the grid feature data corresponding to the point cloud data is processed through the radar neural network, long-distance detection of road line detection is achieved, and the detection effect is stable and accurate.

The present application discloses an integrated system of space-based space target super-resolution imaging and ranging communication, which relates to the field of space target detection technology. In the system, a high-sensitivity optical detection unit is used to realize long-distance detection of space targets; on the basis of coarse tracking, a fine tracking detector is used to perform high-frequency imaging of the space target, and the galvanometer is controlled according to the high-frequency imaging to realize stable fine tracking; laser ranging technology is also used to realize long-distance high-precision ranging of the space target, and in addition, a multi-dimensional super-diffraction sub-pixel imaging subsystem is used to realize spectral and polarization multi-dimensional detection imaging of the space target, so as to realize the attribute recognition of the space target; laser communication can also be used to realize the positioning and tracking of the communication target and the transmission of information; the system provided by the present application can simultaneously realize diffraction super-resolution and sub-pixel super-resolution, and maximize the recognition ability of the target details, thereby solving the problem that centimeter-level targets are dark, weak and small, and difficult to detect and identify.