5results about How to "Solve the fusion problem" patented technology

This invention provides a multi-sensor information fusion method based on trust index divergence. When determining evidence weights, it considers both the degree of conflict between pieces of evidence and the inherent uncertainty of the evidence itself. This overcomes the problem that previous studies mostly relied on the degree of conflict between pieces of evidence when determining evidence weights, rarely considering the characteristics of the evidence itself. It can fully utilize existing evidence information to reasonably measure and correct the degree of conflict, reducing the impact of conflicting evidence and avoiding unreasonable results. Information fusion of multi-sensor decision-making layer data overcomes the shortcomings of previous methods, such as high computational cost and the influence of subjective factors in manually assigned weight coefficients. It reduces the impact of conflicting evidence and accelerates the speed and accuracy of multi-sensor information fusion. The multi-sensor information fusion method proposed in this invention is suitable for target recognition scenarios with high conflict information from multiple sensors in engineering applications, and can effectively solve the problem of fusing high-conflict information from multiple sensors.

The present application relates to a kind of multi-modal visual large model under the dynamic target identification system of heterogeneous sensor anti-interference.The system includes: anti-background interference module, by modality convolution to multi-modal data of heterogeneous sensor, LSTM time series modeling and weighted fusion generation space-time feature, combine time / space attention mechanism and Transformer reinforced feature, use Gaussian probability density model to filter foreground pixel and extract foreground feature;Multi-modal processing module, separate each modality foreground feature and splice after refining, by Transformer extract consistent feature and complementary feature, after fusion and pooling enhancement generation reinforced fusion feature;Target identification module, fusion foreground feature and reinforced fusion feature, after convolution compression and Timesformer long time series modeling, input target detection head, output target classification and boundary box.The present application solves the problem of heterogeneous sensor data interference suppression and dynamic target accurate identification, improves robustness in complex scene.

The invention relates to the technical field of abandoned mine recovery evaluation, in particular to an abandoned mine natural recovery evaluation method based on ecological element collaborative characteristics, and the method comprises the steps: obtaining data; performing primary judgment; performing secondary judgment; and finally carrying out collaborative judgment. And adjusting a threshold value and generating an evaluation report. According to the method, the vegetation coverage is rapidly and preliminarily identified; secondly, evaluating the internal recovery potential of the starting area from the dimensions of provenance, microorganism, hydrological connectivity and the like; and finally, for the potential-sufficient region, accurately judging a system which is still fragile in function and a health system which has formed stable self-maintenance capability by quantifying water and soil vegetation process coupling, a biological interaction network and anti-interference capability, and dynamically adjusting an initial threshold value based on the time sequence stability of a classification result of each region. The whole evaluation system has a data-driven adaptive capability, and the problems of low evaluation result accuracy and response speed lag caused by single evaluation dimension are effectively solved.

The invention provides a VHF and IP voice converged communication method and device for a special ship. The method comprises the following steps: monitoring environment temperature and electromagnetic interference intensity in real time; a pre-stored antenna parameter compensation library is matched based on the environment temperature, and radio frequency front end transmission parameters are dynamically optimized; and performing multi-modal noise suppression on the received VHF audio signal, wherein the multi-modal noise suppression comprises the following steps of: generating a time-frequency mask based on electromagnetic interference intensity by adopting a complex convolution attention network to suppress electromagnetic interference; and converting the processed signal into an IP voice data packet, and reversely converting the IP voice data packet into a VHF signal through a protocol conversion engine to realize a bidirectional communication link. The voice communication quality and reliability in the polar region environment are improved, and the navigation safety is guaranteed.

The application discloses a kind of based on bounded integer sequence and data stream fusion encoding decoding method and device, encoding part includes: the object to be compressed is attempted to multiple compression methods, and the optimal compression scheme is selected according to error size;In optimal compression scheme, the bounded integer sequence in the encoding content is encoded in bounded integer sequence;In optimal compression scheme, the compression method selection mark in the encoding content is encoded;Compression method selection and bounded integer sequence are data stream fusion;Output actual compression data stream;Decoding part includes: compression data stream in identification compression method mark;According to the compression method identified, the remaining part in fixed length compression data is decoded in bounded integer sequence.