64 results about "High temporal resolution" patented technology

The invention relates to the technical field of stereoscopic vision, and discloses a synchronous speed visual matching method and system, electronic equipment and a storage medium, and the method comprises the steps: synchronously collecting a stereoscopic video sequence with a predefined frame rate; executing multi-target hybrid tracking and motion induction detection, and outputting target motion information including position and velocity vectors; extracting hierarchical motion features of the target from continuous multiple frames of the stereoscopic video sequence, and performing unified space-time coding; under geometric constraints of stereoscopic vision, scale cosine similarity, direction similarity and trajectory consistency measurement are calculated and serve as observation evidences to be input into the probabilistic reasoning model for fusion, and a posterior probability representing matching reliability is output; the weight distribution of the speed similarity and the direction similarity is adjusted according to the motion characteristics of the targets in the scene, and the stable corresponding matching relation between the left view target and the right view target is established. According to the method, high-time-resolution information can be utilized, motion features and geometric constraints can be effectively fused, and the method has self-adaptive capacity.

The invention relates to the technical field of data fusion, and particularly provides a multi-scale eco-hydrological parameter joint inversion method and system based on unmanned aerial vehicle and satellite-ground data fusion, and the method comprises the steps: obtaining multispectral, hyperspectral and thermal infrared data of a research region through a high-resolution sensor carried by an unmanned aerial vehicle; the method comprises the following steps: acquiring unmanned aerial vehicle data, acquiring satellite remote sensing data, performing radiation correction on the unmanned aerial vehicle data and the satellite data, and performing feature extraction and space-time fusion on the unmanned aerial vehicle data and the satellite data by using a deep learning algorithm to generate high-resolution fusion data; through a multi-resolution analysis or spatial interpolation technology, coordinating differences of unmanned aerial vehicle data and satellite data in space and time scales, and constructing a multi-scale data set; based on a physical model and a data driving model, combined with fusion data, an inversion result is visually displayed, and the method has the effects of meeting the hydrological monitoring requirement of high time resolution, and particularly providing real-time monitoring data in the hydrological process of rapid change.

The application belongs to the technical field of photon imaging detection, and particularly relates to a photon counting imaging detection system based on a mixed anode. The system comprises a vacuum sealed tube detector composed of a window coated with a photocathode, a microchannel plate stack and a mixed anode, and a signal processing circuit. The photocathode is used for converting photons incident through the window into photoelectrons. The microchannel plate stack is used for converting the photoelectrons into electron clouds. The mixed anode comprises a strip anode and a delay line anode arranged orthogonally, and the mixed anode transmits the collected charge short pulses of each channel to the signal processing circuit. The signal processing circuit calculates the two-dimensional coordinates of the photons based on the collected charge short pulses of each channel, and then transmits the two-dimensional coordinates of the photons to a terminal for imaging display. The application provides a photon counting imaging detection system based on a cross strip-delay line mixed anode, and solves the problem that the existing position sensitive anode detector cannot simultaneously have high spatial resolution and high temporal resolution.

A high-speed excitation spectral imaging method based on cross-spectral decomposition includes sequentially exciting a fluorescent sample according to eight excitation wavelengths to achieve periodic acquisition of spectral images; selecting (from the previous period) spectral images from the acquired spectral images. k +1) ~8 frames and the previous frame of the current cycle k The process involves cross-combining frames; performing spectral decomposition on the cross-combined three-dimensional spectral data; and performing spectral decomposition once for each newly acquired fluorescence image, thereby obtaining high temporal resolution fluorescence images of multiple targets. This invention fully utilizes the periodicity of excitation wavelength scanning, improving the temporal resolution of excitation spectral imaging by 8 times, and achieving effective spectral imaging speed that is completely consistent with the camera's acquisition frame rate.

The application provides a micro-transient temperature field detection system and method. The detection system comprises: a light source module adapted to emit laser light; a sensing module comprising a reference grating and an atomic force probe; a feedback control module connected to the atomic force probe in the sensing module, the feedback control module being adapted to obtain a surface topography scanning result of a sample to be measured after the atomic force probe scans the sample to be measured; and a data processing terminal configured to process temperature sensing information by a spectral inversion algorithm and combine the surface topography scanning result to obtain a temperature field distribution of the surface of the sample to be measured. The micro-transient temperature field detection system and method can improve the accuracy and speed of micro-transient temperature field detection, and the detection result has high spatial and temporal resolution.

The application discloses a high-speed motion three-dimensional point tracking and trajectory reconstruction method and system, and relates to the technical field of three-dimensional point tracking. The method comprises the following steps: synchronously collecting an RGB image sequence and an event stream through a binocular multi-modal observation device; performing time alignment on the RGB image sequence and the event stream, extracting an RGB feature map based on the RGB image sequence, and extracting an event feature map based on the event stream; mapping the RGB feature map and the event feature map to a three-dimensional space; supplementing a three-dimensional feature point cloud through a linear interpolation algorithm; balancing the spatial distribution of the supplemented three-dimensional feature point cloud through an anchor point sampling algorithm to obtain a fused three-dimensional feature point cloud; and generating high-speed three-dimensional point trajectory data based on the fused three-dimensional feature point cloud through a time correlation transformer. The application effectively fuses the texture fidelity of the RGB image and the high time resolution of the event data, and can realize high-frame-rate and high-precision three-dimensional point trajectory reconstruction in a high-speed motion scene.

The invention discloses an event camera video reconstruction method and system based on active aperture modulation, and the method comprises the steps: introducing an aperture modulation strategy for the first time, and reconstructing an initial frame with good quality by periodically adjusting the opening and closing of an aperture and actively triggering a dense global event signal; the problem of low background reconstruction quality caused by sparse events in a static region in the prior art is solved, and good prior information is provided for subsequent dynamic scene reconstruction. By constructing a forward-reverse bidirectional network, rich intensity information is provided for a static scene, and the problems of background disappearance and error accumulation in long-time operation in a traditional method are effectively solved. And meanwhile, high-time-resolution capture of a dynamic region is kept, and high-fidelity and high-dynamic-range video reconstruction is realized.

The present disclosure relates to a kind of Porphyra cultivation area extraction method, device, readable storage medium and electronic equipment.The method comprises: obtaining the target remote sensing image data of target area, target remote sensing image data includes first target multispectral image and target radar image sequence;Extract target spectral feature, target polarization feature, target multispectral index feature and target radar index feature of target remote sensing image data;According to these features, Porphyra cultivation area in target area is classified and extracted.When Porphyra cultivation area is classified and extracted, not only reference optical remote sensing image, but also reference radar image sequence, can make full use of radar microwave penetration cloud, it is the only available data feature under extreme weather, so that the above method is not affected by climate or weather, all day, all-weather application.Due to radar image data has higher temporal resolution and spatial resolution, not easy to be affected by cloud, can improve the classification and extraction precision of Porphyra cultivation area.

The invention provides a hard X-ray detector array on-orbit background determination method based on machine learning for high-energy detection equipment such as a hard X-ray imager of 'Quafather No.1' ASO-S, and belongs to the field of space science data processing. The method comprises the following steps: integrating observation data of a monitoring probe in a detector array, a satellite orbit magnetic field parameter and an external space environment parameter, and constructing a multi-source feature vector; training and optimizing a machine learning model by using the no-signal data set; and inputting the feature vector of the target time period into the model to realize high-precision prediction of the background of the scientific observation probe. According to the method, the monitoring probe data is taken as an anchor point, the dynamic environment parameters are combined, individual and high-time-resolution background estimation is provided for each probe, and the target signal extraction precision is remarkably improved. The method has outstanding advantages when processing data influenced by radiation band particles, and effectively enlarges the scientific sample size for energy spectrum and imaging analysis.

The embodiment of the invention provides an automatic data labeling method based on a multi-modal large model, and the method comprises the steps: controlling a sliding window to carry out image sampling operation along a time axis of video data, obtaining a window image set, determining an atomic action type of a video image entering the sliding window for the first time based on the window image set, and based on the atomic action type of each video image, segmenting the video data into a plurality of atomic action segments, and inputting the atomic action segments into a pre-trained multi-modal large model to obtain annotation information about the atomic action segments. According to the embodiment of the invention, the atomic action fragments are automatically classified in the whole process, the labeling information about the atomic action fragments is automatically generated, manual participation is not needed, and the condition of low labeling efficiency caused by manual intervention can be improved. Meanwhile, according to the embodiment of the invention, atomic power classification is carried out on each video graph frame by frame, and fine-grained action changes are captured with relatively high time resolution, so that reliable and accurate atomic action fragments can be obtained.

The invention discloses a photoluminescence life information acquisition method and device based on a rolling shutter CMOS, and belongs to the field of photoluminescence life detection and imaging. According to the method, line time signals of the camera are creatively utilized, and the excitation light source is directly controlled by grouping the line time signals and performing accurate intra-frame or inter-frame phase modulation on the line time signals, so that time sequence information (attenuation luminous intensity) is coded into the inherent space (line position) or time sequence (frame sequence) dimension of the CMOS camera; high-speed life detection can be achieved only through single-frame collection, or full-frame life imaging is achieved through multi-frame collection, under the condition that no mechanical shutter or expensive external time gating device is needed, the system cost is reduced to the minimum, meanwhile, high time resolution which is difficult to reach by a traditional low-cost CMOS scheme is achieved, and the system performance is improved. The problem that low cost, high measurement rate and high time resolution cannot be considered at the same time in the field for a long time is solved.

A subsurface monitoring system comprises at least two transmitters (1, 2), a plurality of sensors (3), and a server (4). Each transmitter (1, 2) is configured to deliver a current to a subsurface, which induces a corresponding voltage that is indicative of the properties of the subsurface. Each sensor (3) is communicatively coupled to the transmitters (1, 2) and is configured to record the voltage and to convert the recorded voltage into digital data. The server (4) is communicatively coupled to the transmitters (1, 2) and to the plurality of sensors (3), and is configured to receive the digital data and to process the digital data into a resistivity map representing conditions of the subsurface. At least one of the transmitters (1, 2) is an electrical resistivity transmitter (1) for monitoring the subsurface in a static mode that acquires high temporal resolution data at fixed locations in the subsurface. At least one of the transmitters (1, 2) is a capacitive resistivity imaging transmitter (2) for monitoring the subsurface in a dynamic mode that acquires high spatial resolution data at multiple subsurface locations.

The application provides a method and device for determining crop planting structure at a provincial scale, equipment and a medium, and relates to the technical field of agricultural remote sensing. The method comprises the following steps: obtaining medium-high resolution images and high temporal resolution images of crops in a target area; obtaining a medium-high resolution image NDVI time series according to the medium-high resolution images; obtaining a high temporal resolution image NDVI time series according to the high temporal resolution images; reconstructing the medium-high resolution image NDVI time series and the high temporal resolution image NDVI time series to obtain a reconstructed continuous NDVI time series; and obtaining crop types of each sub-region in the target area according to the reconstructed continuous NDVI time series and a pre-trained crop classification model. The method reduces the dependence on the quality of single-period images, and makes the crop planting structure extraction result have higher consistency in the provincial range, and is suitable for complex climate conditions and wide application requirements.

This invention relates to a continuous three-dimensional particle field reconstruction method based on single-light-field imaging using EM deconvolution, belonging to the field of optical imaging technology. This method employs a light field camera to capture light field images of a discretized three-dimensional flow field, acquiring the light intensity information of scattered light emitted by particles on each pixel of a CCD detector. Based on the light intensity information, a weight matrix for each voxel is calculated, and the entire weight matrix is ​​loaded only once. The nth frame of the light field image is loaded, and the non-zero pixels in the nth frame are identified. The non-zero pixel sequence formed by the scattered light from tracer particles is extracted. An EM deconvolution algorithm is used to iteratively calculate the non-zero pixel sequence, updating the intensity of each voxel, thereby reconstructing the three-dimensional particle field of a single frame. The above steps are repeated to complete the reconstruction of the three-dimensional particle field from multiple frames of high temporal resolution light field images, resulting in higher reconstruction accuracy and consistency, and less time consumption.

The invention provides a single-compression birefringence imaging system and method based on a polarization sensor, relates to the technical field of optical imaging, and aims to solve the problem that the real-time observation of a millisecond or microsecond magnitude superspeed dynamic process is difficult to realize due to the fact that the existing birefringence imaging technology is limited by mechanical scanning or a sensor frame rate. The system comprises a laser, a laser collimation module, a fast encoder, an imaging lens, a linear polarizer, a 4f imaging system and a polarization sensor which are sequentially arranged in the light path propagation direction, the fast encoder is arranged on a light path of collimated parallel light beams, and the imaging lens is arranged on a reflection light path of the fast encoder. The linear polarizer is arranged on an emergent light path of the imaging lens, the 4f imaging system is arranged on a transmission light path of the birefringence sample, and the polarization sensor is arranged on an image plane of the 4f imaging system. According to the invention, problems in the prior art are solved, dynamic birefringence imaging with high time resolution is realized, and the imaging speed and stability are improved.

The invention relates to a remote sensing spatio-temporal data fusion method based on phenological constraint and meteorological driving, and belongs to the technical field of data processing. A high spatial resolution remote sensing image and a high time resolution remote sensing image are subjected to regression modeling, spatial filtering and residual error compensation, a fine resolution image and a coarse resolution image are subjected to preliminary time-space fusion, and a meteorological driving model between meteorological variable change and vegetation index short-term response is established; extracting a time sequence of a sample region from the high-time-resolution data, performing nonlinear curve fitting on the time sequence by using a Gaussian model, establishing a phenological growth model, performing parameter solution and optimization on the model to obtain a regional representative phenological model of the crop type, and carrying out phenological constraint and meteorological drive correction on the preliminary time-space fusion result to generate a final high-temporal-spatial-resolution image sequence. According to the method, a high-temporal-spatial-resolution remote sensing product which is lower in noise, more stable in phenological characteristic and more credible can be generated.

An image reconstruction system includes a single-photon detector array and a computing device. The single-photon detector array captures a time series of low-bit-depth image frames, which have a high temporal resolution (framerate). The computing device is configured to receive and process the time series of low bit-depth image frames to reconstruct a time series of high-quality reconstructed image frames. The image reconstruction pipeline leverages by the computing device incorporates a deep-learning-based, end-to-end neural network configured to reconstruct high-quality grayscale images from low bit-depth (e.g., 3-bit) quanta image data.

The invention discloses a femtosecond time resolution multi-exposure imaging system and a femtosecond time resolution multi-exposure imaging method for observing gas nucleus evolution near a material plate, and belongs to the technical field of ultrafast optical diagnosis. A single pulse emitted by a femtosecond laser light source is subjected to passive beam splitting through a transparent medium sheet queue, and a femtosecond multi-pulse probe cluster is generated; the formation of a gas nucleus is induced near a material interface through a gas nucleus inducing device, and the time sequence of the multi-pulse probe cluster, the formation of the gas nucleus and the exposure of the photosensitive element is accurately controlled by utilizing a synchronous control module; after analysis of the data processing and analysis module, femtosecond-level dynamic information of the whole process of gas nuclei near the material from primary generation, evolution to collapse can be obtained. The ultra-high time resolution is achieved through a simple and low-cost system, an effective means is provided for fine diagnosis of the ultra-fast transient process in the gas nucleus and material interaction, and the method has important application value in the fields of cavitation erosion mechanism research, high-performance material testing, hydraulic machinery and the like.

The invention provides a water level monitoring method and device based on GNSS-R and altimetry satellite data fusion and a storage medium, and relates to the technical field of water level monitoring. The method comprises the following steps: acquiring GNSS-R reflected signals and height measurement satellite data of a target area; performing signal correction processing on the GNSS-R reflection signal to obtain a target GNSS-R reflection signal; performing error value correction processing on the height measurement satellite data to obtain target height measurement satellite data; performing spatial registration processing on the target GNSS-R reflected signal and the target height measurement satellite data; and carrying out fusion processing on the target GNSS-R reflection signal and the target height measurement satellite data after space registration, and outputting water level monitoring data. According to the invention, high time resolution of GNSS-R and wide coverage of altimetry satellites are combined, and continuous global monitoring of the water level is realized at low cost; and through signal correction, error correction and space registration deviation reduction, multi-source data are fused, noise is reduced, and the water level monitoring data stability and anti-interference performance are excellent.

This invention relates to the field of photon imaging detection, and more particularly to a multi-photon imaging detection system based on trianode photon counting. The system includes a sealed tube imaging detector and a position readout circuit. The sealed tube imaging detector comprises an entrance window coated with a photocathode, a microchannel plate stack, and three anodes. The cross-shaped anode in the trianodes works in conjunction with a multi-channel preamplifier and shaping circuit, a multi-channel analog-to-digital converter circuit, and a microprocessor in the position readout circuit to detect the incident position of photons. The array anode in the trianodes works in conjunction with a multi-channel amplification discriminator circuit and a time measurement circuit in the position readout circuit to detect the arrival time of photons. A synchronization control circuit is used to synchronize the clocks of all circuits, achieving matching between the incident position and arrival time of photons. This invention separates the position measurement and time measurement functions through physical structure, achieving high temporal resolution while retaining high spatial resolution, and solving the problem of position ambiguity caused by multiple synchronously incident photons.

This application discloses a method and related apparatus for generating high spatiotemporal resolution images based on a spatiotemporal fusion algorithm, relating to the field of remote sensing image fusion technology. The method includes: for any target raster pixel, initial screening is performed according to reflectance differences within a moving window centered on the position of the target raster pixel; then, a final set of similar raster pixels is obtained by screening based on spectral distance, spatial distance, temporal distance, and corresponding thresholds; when calculating the spectral distance, different combinations of coefficient constants are used according to the different bands of each similar raster pixel to obtain a more accurate spectral distance calculation result; then, based on the weight matrix calculated therefrom, remote sensing images with high temporal and low spatial resolution and high spatial and low temporal resolution are effectively fused, solving the shortcomings of existing remote sensing products in terms of spatiotemporal resolution, especially the limitations of low-cost remote sensing products, which often have high temporal resolution but low spatial resolution, or high spatial resolution but low temporal resolution.

The application proposes a high-precision sea surface chlorophyll concentration inversion method applying cross-attention mechanism and space spectrum fusion, aiming at solving the trade-off problem between spatial resolution and temporal resolution of sea surface chlorophyll concentration in satellite remote sensing. The method can fully mine and effectively fuse spatial and spectral information of different resolutions by introducing cross-attention mechanism through space spectrum fusion technology, so as to realize the production of high spatial resolution and high temporal resolution sea surface reflectance data; and uses random forest fitting inversion method to improve the precision and robustness of chlorophyll concentration inversion. These methods overcome the application limitations of traditional sea surface chlorophyll concentration production methods in complex marine environments. The application can significantly improve the spatial resolution and temporal resolution of sea surface chlorophyll concentration, and has strong adaptability and operability.

The invention discloses an ultrahigh time resolution flow field reconstruction method based on time sequence-space joint coding ViT, belongs to the field of fluid mechanics flow field prediction and reconstruction, and aims to solve the problems of insufficient time sequence feature modeling, limited key region precision and poor dynamic consistency of traditional flow field reconstruction. The method comprises the following steps: firstly, collecting multi-time-period sparse pressure field data, carrying out time sequence construction, and carrying out key region mask weighting preprocessing; constructing a ViT model fusing time sequence-space two-dimensional position coding, and cooperatively extracting time sequence dependence features and space local features of the pressure field; secondly, designing a multi-component loss function containing key region weighted MSE, flow field continuity constraint and structural similarity, and ensuring numerical value consistency, dynamic rationality and visual structural integrity of a reconstructed flow field; and finally, improving the high-frequency flow field feature capture capability through output layer optimization combining hierarchical attention aggregation and convolutional projection. According to the method, complete ultrahigh time resolution flow field data can be reconstructed, and the method is suitable for high-precision flow field prediction and engineering fluid mechanics analysis scenes.

This system accurately acquires information regarding the concentration and quantity of specific substances present on the upper surface of a substrate, with high temporal resolution. [Solution] This invention comprises: a light irradiation unit that irradiates a substrate with light that is transparent to the substrate and has directionality in a wavelength range including the absorption spectrum of a specific substance, so that the light is totally reflected inside the substrate; a light receiving unit that receives the totally reflected light that propagates while being totally reflected inside the substrate and is emitted from the substrate, and outputs measurement information related to the totally reflected light; and an information acquisition unit that acquires information about a specific substance from the absorption spectrum of the specific substance included in the measurement information.

A sea going instrument is used to measure the 234Th activity on settling particles in the ocean as an indicator of carbon sequestration as export from the surface ocean. The instrumentation can be adapted to multiple sampling platforms with the goal of providing high temporal resolution 234Th flux measurements at multiple locations and depths in the ocean. This proxy of mass flux is used to complement other in situ sensors to provide high resolution data for features such as Chlorophyll-a concentration (Chla), accessory pigments, and PIC normalized to mass flux.

The application provides a kind of large resolution difference non-homologous synthetic aperture radar sea ice drift detection method, comprising: obtaining training sample, constructing super-resolution reconstruction network, and using super-resolution reconstruction network uniform resolution;Based on the high-resolution image pair obtained by super-resolution reconstruction network, feature extraction and coarse matching are carried out;Based on the features after feature extraction and coarse matching, remove the error matching points;Calculate the sea ice drift vector field, obtain complete non-homologous SAR image sea water drift information.The application can realize the full-automatic detection of sea ice drift, and use the advantages of non-homologous SAR high spatial resolution and high time resolution, obtain high-resolution, quasi-real-time sea ice drift field, meet the demand of realizing high-resolution sea ice drift automatic detection from massive SAR data.

The present invention accurately acquires information pertaining to the concentration and amount of a specific substance present on the upper surface of a substrate with high temporal resolution. An information acquisition device according to the present invention comprises: a light irradiation unit that irradiates a substrate with irradiation light, which passes through the substrate and has directivity in a wavelength range including an absorption spectrum of a specific substance, so that the irradiation light is totally reflected inside the substrate; a light reception unit that receives the totally reflected light emitted from the substrate by propagating while being totally reflected inside the substrate, and outputs measurement information related to the totally reflected light; and an information acquisition unit that acquires information pertaining to the specific substance from the absorption spectrum of the specific substance included in the measurement information.

The invention discloses a microbubble high temporal-spatial resolution visualization platform and method in a megasonic field. The present invention comprises: a container for containing a liquid; the megasonic standing wave generating device is used for forming a megasonic standing wave field so as to position a single microbubble at an antinode; the bubble generation device is used for locally generating the microbubbles in an antinode area of a megasonic standing wave field; the lighting device is used for lighting the microbubbles with nanosecond stroboscopic light; and the imaging device is used for acquiring an image of the illuminated microbubble by microsecond exposure. The microbubbles are fixed by applying sound standing waves, the situation that the microbubbles are moved out of a view field and cannot be observed for a long time is avoided, and the high spatial resolution of the platform is achieved. A nanosecond stroboscopic LED light source is also combined, so that inaccurate shot images caused by overlong exposure time of a high-speed camera are avoided, and high time resolution of the platform is realized.

The invention relates to the technical field of photoelectricity, in particular to a bimodal polarization fusion visual sensor, a preparation method thereof and a model construction method. According to the invention, the ferroelectric layer in the sensor can realize static gray imaging by using the bulk photovoltaic effect and ferroelectricity; meanwhile, the Van der Waals heterojunction formed by the ferroelectric layer and the anisotropic photosensitive layer simulates the plasticity behavior of biological synapse through charge recombination-capture dynamics under the irradiation of polarized light, and can asynchronously output a polarization dynamic image with high time resolution and low delay in an event-driven mode. According to the visual sensor, static imaging and polarization dynamic perception are fused in a hardware level in a single device, the visual perception robustness and information richness under a complex light field (such as glare and haze) are remarkably improved, and a high-energy-efficiency and high-performance bionic visual solution is provided for application of automatic driving, machine vision and the like.

The application discloses a wave front detection system and method based on a pulse camera, and belongs to the technical field of adaptive optics. The system comprises a micro optical unit for dividing an incident wave front into a sub-spot array; a pulse camera, whose photosensitive surface is located at the focal plane of the micro optical unit, for receiving the sub-spot array and outputting spot change information in the form of an asynchronous pulse stream; and a data processing unit for processing the pulse stream in real time, outputting a transient wave front phase through pulse classification, centroid calculation and wave front reconstruction. The application utilizes the high time resolution and asynchronous output characteristics of the pulse camera, can track the high-speed movement of a spot with a precision of microseconds, significantly improves the time resolution and dynamic range of wave front detection, and is suitable for fields such as astronomical observation, high-speed flow imaging, laser communication and the like which require high-frequency and large-aberration measurement.