4results about How to "Remove blur" patented technology

This invention discloses a method and system for designing a spatiotemporal database of land value, applied in the fields of spatial geographic information data processing and image correction technology. The method involves acquiring spectral remote sensing image data; performing geographic coordinate matching on the spectral remote sensing image data to generate coordinate spectral remote sensing image data; digitally rasterizing the spectral remote sensing image data using a digital elevation model to generate point cloud data; performing 3D reconstruction based on the point cloud data to obtain a 3D terrain model; performing boundary region reconstruction processing on the 3D terrain model to obtain a reconstructed model; extracting ground features from the reconstructed model to obtain ground feature data; and constructing a spatiotemporal database by spatiotemporally indexing the ground feature data. This method can correct the brightness of edge defects of interval-type and linear ground features based on predicted brightness changes, significantly reducing grayscale distortion in 3D images and eliminating blurring caused by interference.

The invention discloses an underwater target detection and positioning method and system based on a passive sonar array, and relates to the technical field of underwater acoustic signal processing. Acoustic signals radiated by an underwater target are received and divided into dense subarray data and sparse subarray data; performing a sparse Bayesian learning algorithm on the sparse subarray data, and outputting a high-precision fuzzy value; carrying out azimuth estimation on the dense subarray data in a full-angle range through a dense part to obtain a low-precision unambiguous value; and fusing the high-precision fuzzy value and the low-precision non-fuzzy value through an estimation matching model to obtain an orientation estimation result of the underwater target. According to the method, high-precision azimuth estimation is carried out based on the combination of the ternary co-prime array and the compressed grid sparse Bayesian learning, high-precision (but fuzzy) estimation is carried out by utilizing the sparse part of the TCA array, low-precision (but non-fuzzy) estimation is carried out by utilizing the dense part, and high-precision target azimuth estimation under low operand is realized.

The application provides an underwater fixed-distance luring camera device for shrimp culture, and relates to the technical field of aquaculture monitoring equipment. The underwater fixed-distance luring camera device comprises a water control terminal and an underwater collecting unit. The underwater collecting unit comprises a support connecting arm, and the support connecting arm is provided with an underwater camera module, a light supplementing assembly and a luring module. An observation cover plate is arranged on the shooting direction of the underwater camera module. A feeding outlet of the luring module is arranged towards the disc surface of the observation cover plate, and is used for feeding bait on the observation disc. The water control terminal comprises an intelligent main control terminal and an antenna. The application physically locks the shooting area in the best focal length range of the camera by using the observation cover plate, and enhances the picture by combining with an algorithm, so that the technical problem that ordinary cameras are difficult to capture clear images under water due to the fast swimming speed and uncertain position of shrimps is effectively solved.

The present application belongs to the electronic information, signal processing, communication and radar positioning cross technical field, and relates to a signal delay measurement method, system and terminal. The present application collects the transmitting signal and the receiving signal through the delay system, respectively makes the fast Fourier transform on the two signals and selects the frequency interval according to the spectrum, and then calculates the phase difference change; at the same time, a new phase unwrapping method is proposed to solve the 2pi phase ambiguity problem caused by the calculation of the phase difference, and the phase difference is shifted and corrected to restore it to the phase difference corresponding to the high frequency; finally, the delay in the time domain of the two signals is used, which is priori information that the phase difference is proportional to the frequency in the frequency domain, and the phase difference points of the selected frequency interval are forced to pass through the origin linear fitting, and the delay is calculated through the slope of the straight line. The present application avoids the error accumulation caused by noise or phase mutation, and significantly improves the delay estimation robustness under the condition of low signal-to-noise ratio or frequent phase jump.