4276 results about "Very high resolution" patented technology

The present invention provides an imaging probe for imaging mammalian tissues and structures using high resolution imaging, including high frequency ultrasound and optical coherence tomography. The imaging probes structures using high resolution imaging use combined high frequency ultrasound (IVUS) and optical imaging methods such as optical coherence tomography (OCT) and to accurate co-registering of images obtained from ultrasound image signals and optical image, signals during scanning a region of interest.

Proppants having added functional properties are provided, as are methods that use the proppants to track and trace the characteristics of a fracture in a geologic formation. Information obtained by the methods can be used to design a fracturing job, to increase conductivity in the fracture, and to enhance oil and gas recovery from the geologic formation. The functionalized proppants can be detected by a variety of methods utilizing, for example, an airborne magnetometer survey, ground penetrating radar, a high resolution accelerometer, a geophone, nuclear magnetic resonance, ultra-sound, impedance measurements, piezoelectric activity, radioactivity, and the like. Methods of mapping a subterranean formation are also provided and use the functionalized proppants to detect characteristics of the formation.

The present invention provides an apparatus and method for high resolution spectroscopy (approximately 10 picometer wavelength resolution) using a tunable optical filter (TOF) for analyzing a formation fluid sample downhole and at the surface to determine formation fluid parameters. The analysis comprises determination of gas oil ratio, API gravity and various other fluid parameters which can be estimated after developing correlations to a training set of samples using a neural network or a chemometric equation.

A sensing system (11) includes a first radar sensing assembly (10; 3104, 3106; 4100, 4200) and an analysis system (18). The first radar sensing assembly (10; 3104, 3106; 4100, 4200) measures plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) to a first target location (16) at different times using radar. The analysis system (18) receives the plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) from the first radar sensing assembly (10; 3104, 3106; 4100, 4200) and quantifies movements of a target object (14) at the first target location (16) at the different times by calculating differences in the plural distances (10; 3104, 3106; 4100, 4200) measured by the first radar sensing assembly (10; 3104, 3106; 4100, 4200). The analysis system (18) generates one or more first quantified activity level values indicative of the movements of the target object (14) at the first target location (16) using the differences in the plural distances (12; 22, 30; 42, 50, 60, 70, 80; 4102, 4202) that are calculated.

High dynamic range brightness information is acquired by inputting detection current to a high (adjustable) gain resettable integrator whose output V(t) is compared to a Vth threshold by a comparator whose output is counted by a reset counter as V(t).gtoreq.Vth. When a desired count is attained, data acquisition ends, the counter is read, and the entire circuit is reset. A TOF data acquisition circuit includes first and second sequences of series-coupled delay units, and a like number of latch units coupled between respective delay units. A phase discriminator compares output from each chain and feedback a signal to one of the chains and to a comparator and can equalize delay through each chain. A control voltage is coupled to the remaining chain to affect through-propagation delay time. The latch units can capture the precise time when V(t).gtoreq.Vth. Successive measurement approximation can enhance TOF resolution.

A system and method providing for the detection of an input signal by distributing the input signal into independent signal components that are independently amplified. Detection of an input signal comprises generating from the input signal a plurality of spatially separate elementary charge components, each having a respective known number of elementary charges, the number of the plurality of spatially separate elementary charge components being a known monotonic function of the magnitude of said input signal; and independently amplifying each of the plurality of spatially divided elementary charge components to provide a respective plurality of signal charge packets, each signal charge packet having a second number of elementary charges greater than the respective known number by a respective amplification factor.

A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of process modeling computers.

Pipeline data and satellite data are used to provide surveillance for a pipeline. The satellite data is integrated with the pipeline data to produce a current pipeline map. The current pipeline map is then compared with a previous pipeline map to determine whether the route of the pipeline or a surrounding environment of the pipeline has changed. The satellite data includes very high resolution (VHR) satellite imagery and the pipeline data includes location data that is a series of global positioning system (GPS) coordinates.

Mechanical sun trackers which have optical systems on their surface for concentrating direct solar radiation and its subsequent conversion into electricity through thermal or photovoltaic processes require precision solar tracking, which has to be all the more precise the greater the concentration factor used. Thus the precision required in these systems is generally less than a degree, and frequently of the order of a tenth of a degree. In view of the large dimensions of the surfaces, or apertures, of these trackers, currently in the approximate range of 20-250 m2, the difficulty of aligning these with the sun with such accuracy will be obvious. To achieve this objective a solar tracker must comply with strict rigidity specifications and its transmission must provide high resolution when positioning. In addition to this, equipment which is capable of controlling solar tracking with the specified precision at all times is required.

The invention provides a method and a system for processing high-definition remote sensing image data by applying a rational function model, a satellite image block adjustment and auto-match and distributed parallel processing technology. The method comprises the following steps: analyzing and processing input primary image data and computing parameters of the corresponding rational function model so as to obtain a stereo image pair by applying the computed rational function model; performing measurement and singlechip orientation of a control point and a connecting point on the primary image data, and performing block adjustment processing on an error between stereo image pixel data and the primary image data so as to improve the fit precision between the stereo image pixel data and the primary image data; generating an image similar to an epipolar ray, defining a matching template, measuring matched seed points and lines, performing automatic image matching and generating a digital elevation model; and respectively generating a digital orthophoto map and a digital line graph, and finishing manufacturing a product by applying the obtained data.

An embodiment according to the present invention includes a method for a machine-learning based approach to the formation of ultrasound and photoacoustic images. The machine-learning approach is used to reduce or remove artifacts to create a new type of high-contrast, high-resolution, artifact-free image. The method of the present invention uses convolutional neural networks (CNNs) to determine target locations to replace the geometry-based beamforming that is currently used. The approach is extendable to any application where beamforming is required, such as radar or seismography.

An apparatus or method of efficiently coding high resolution video using texture analysis and synthesis techniques in a scalable video coding framework. A high-resolution video signal is spatially downsampled and encoded into a base-layer. Texture and structure information are extracted from the downsampled signal and base-layer for use by a texture synthesizer. The texture synthesizer is structurally and texturally aware utilizing edge information from a base-layer of the synthesizer to improve synthesis. After synthesis, a video quality assessor directs enhancement-layer coding of unacceptably synthesized areas by alternate (non-textural) coding means, such as conventional AVC or MPEG-2 coding. In one mode, the quality assessor iteratively improves synthesis of certain blocks to make them acceptable for enhancement-layer coding. The apparatus or method outputs a bit stream, or bit streams, containing both the coded base-layer and the enhancement-layer.

A video ingest system, including a video server, including a receiver for receiving incoming video feeds, a video encoder for encoding incoming video feeds on-the-fly to one or more versions of high resolution video sample data, and to one or more versions of low resolution video sample data, and a transmitter for transmitting versions of the low resolution video sample data to respective ones of a plurality of storage units, and for transmitting high resolution video sample data to a broadcaster, a plurality of storage units, coupled communicatively with the video server, and a plurality of workstations, coupled communicatively with respective ones of the plurality of storage units, each workstation including a receiver for receiving a version of the low resolution video sample data from a storage unit, a video previewer for rendering the version of the low resolution video sample data, and a proxy video editor for generating edit instructions for the low resolution video sample data that is rendered by said video previewer.

A method for increasing the resolution when forming a three-dimensional article through successive fusion of parts of a powder bed, said method comprising providing a vacuum chamber, providing an electron gun, providing a first powder layer on a work table inside said vacuum chamber, directing an electron beam from said electron gun over said work table causing the powder layer to fuse in selected locations to form a first cross section of said three-dimensional article, providing a second powder layer on said work table, directing the electron beam over said work table causing said second powder layer to fuse in selected locations to form a second cross section of said three-dimensional article, reducing the pressure in the vacuum chamber from a first pressure level to a second pressure level between the providing of said first powder layer and said second powder layer.

An apparatus and a method for ultrasonic testing obtains high-resolution and high-S / N ratio testing results by driving a number of piezoelectric elements using fewer pulsers and receivers in comparison with the number of elements composing an array transducer. A sensor information setter sets a plurality of piezoelectric element groups used for transmission and a plurality of piezoelectric element groups used for reception among the plurality of piezoelectric elements composing an ultrasonic array transducer. A computer transmits an ultrasonic wave from the element cluster set for transmission, and stores an ultrasonic wave received by the element cluster set for reception. The procedure is repeated including different element cluster sets for transmission and reception to obtain first receive signals. The first receive signals are summed to obtain a second receive signal; and the second receive signal is displayed with reference to the sensor center position on a display unit.

The invention discloses a super-resolution fluorescence microscopy method based on tangential polarization, comprising the following steps: carrying out 0-2pi vortex phase coding focus on tangential polarization exciting light, and obtaining an exciting spot below a diffraction limit on a fluorescence sample; adjusting tangential polarization STED laser and the phase coding tangential polarization exciting light to realize confluence and co-axis, focusing on the fluorescence sample to form a circle bread-shaped focusing spot the central point of which coincides with the central point of the exciting spot; adjusting the operating power of the STED laser to cause the area of a luminous point in the exciting spot to reach the super-resolution ratio; and collecting fluorescence emitted from the luminous point and carrying out detection processing to obtain a microimage with the super-resolution ratio. The invention also discloses a device for realizing the super-resolution fluorescence microscopy method based on tangential polarization. In the invention, on the premise of ensuring the super-resolution ratio, the working power of the STED is reduced greatly, thereby lowering bleaching of the sample and avoiding damage for the sample.

An imaging fountain flow cytometer allows high resolution microscopic imaging of a flowing sample in real time. Cells of interest are in a vertical stream of liquid flowing toward one or more illuminating elements at wavelengths which illuminate fluorescent dyes and cause the cells to fluoresce. A detector detects the fluorescence emission each time a marked cell passes through the focal plane of the detector. A bi-directional syringe pump allows the user to reverse the flow and locate the detected cell in the field of view. The flow cell is mounted on a computer controlled x-y stage, so the user can center a portion of the image on which to zoom or increase magnification. Several computer selectable parfocal objective lenses allow the user to image the entire field of view and then zoom in on the detected cell at substantially higher resolution. The magnified cell is then imaged at the various wavelengths.

A radiolocation system for multipath environments, such as for tracking objects in a semiconductor fabrication facility (FIGS. 1a-1b), includes an array of receivers (20) distributed within the tracking area, coupled to a system processor (40) over a LAN. A TAG transmitter (30) located with each object transmits, at selected intervals, spread spectrum TAG transmissions including at least a unique TAG ID. In a high resolution embodiment, object location is accomplished by time-of-arrival (TOA) differentiation, with each receiver (FIG. 2b) including a TOA trigger circuit (64) for triggering on arrival of a TAG transmission, and a time base latching circuit (65) for latching the TOA count from an 800 MHz time base counter. In a low resolution embodiment, each receiver of the array is assigned a specific location-area, and receives TAG transmissions almost exclusively from TAGs located in that area, thereby eliminating the need for any time-of-arrival circuitry.

The invention discloses an unmanned aerial vehicle multi-overlapped-remote-sensing-image method for extracting a building contour line. The unmanned aerial vehicle multi-overlapped-remote-sensing-image method includes the steps that three-dimensional point cloud is generated with an aerial-triangulation and dense-matching combined method and filtered, and a building is detected from the point cloud; after the walls of the detected building are canceled, the general contour of the building is extracted from building top face information; the general contour of the building serves as a buffering area to be overlapped on spliced images and serves as shape prior information, evolution is carried out in the buffering area with a level set algorithm, and finally an accurate contour of the building is obtained. By means of the unmanned aerial vehicle multi-overlapped-remote-sensing-image method, as point cloud three-dimensional information generated by the multiple overlapped images is sufficiently used, and meanwhile the high-accuracy geometrical information of the high-resolution remote sensing images is used in a combined mode, the building contour extracting accuracy is remarkably improved, and the complexity of the method is lowered.

A smart camera system provides focused images to an operator at a host computer by processing digital images at the imaging location prior to sending them to the host computer. The smart camera has a resident digital signal processor for preprocessing digital images prior to transmitting the images to the host. The preprocessing includes image feature extraction and filtering, convolution and deconvolution methods, correction of parallax and perspective image error and image compression. Compression of the digital images in the smart camera at the imaging location permits the transmission of very high resolution color or high resolution grayscale images at real-time frame rates such as 30 frames per second over a high speed serial bus to a host computer or to any other node on the network, including any remote address on the Internet.

A method and visualization apparatus for spectral analysis of time-and-space varying signals enables high resolution investigation of 3D seismic data for the exploration of oil and gas. The method extrapolates multi-resolution short windows into an average long window then computes its FFT. Extrapolation uses the continuity relationship between data inside and outside of short windows. Applications of the method are illustrated with graphical screen 3D volume displays of amplitude spectra, dip and azimuth, curvature and faults (figure below). Aside from high resolution these displays improve the productivity of a seismic interpreter.

Stabilization for devices such as hand-held camcoders segments a low-resolution frame into a region of reliable estimation, finds a global motion vector for the region at high resolution, and uses the global motion vector to compensate for jitter.

Systems and methods are provided for increasing the geospatial resolution of traffic information by dividing known location intervals into a fixed number of sub-segments not tied to any one map providers format, efficient coding of the traffic information, and distribution of the traffic information to end-user consuming devices over one or more of a satellite based broadcast transport medium and a data communications network. Exemplary embodiments of the present invention detail a nationwide traffic service which can be encoded and distributed through a single broadcast service, such as, for example, an SDARS service, or a broadcast over a data network. Exemplary embodiments include aggregating the traffic data from segments of multiple location intervals, into predefined and predetermined flow vectors, and sending the flow vectors within a data stream to users. Confidence levels obtained from raw traffic data can both (I) be disclosed to drivers / users to supplement a very low signal (or no signal) speed and congestion report, and (ii) can also be used in various system algorithms that decide what local anomalies or aberrations to filter out as noise, or to disclose as accurate information and thus more granularly depict the roadway in question (and use additional bits to do so) as an actual highly localized traffic condition.

A system and method for generating weather reports and the like which are precisely computed automatically for a particular individual user's geographic location and which are provided automatically to the individual user. A user establishes an individualized user profile in which the user defines a particular location of interest, a contact address, and optionally, a personalized activity weather condition profile. A detailed and accurate weather forecasting model is run to provide high geographic and temporal resolution forecast data. The high resolution forecast data is compared to the individual user profile and a personalized weather report for the particular location, times, and conditions of interest are provided automatically to the individual, e.g., via e-mail and / or at a personalized internet web page. A detailed weather forecast report may be provided in an easily readable tabular form, with notable weather conditions, e.g., daily high and low temperatures, highlighted.

The invention discloses an automatic collecting method of high-resolution satellite remote sensing traffic flow information. The automatic collecting method comprises the following steps of: A. pretreatment: registration of panchromatic images and a vector road network as well as panchromatic and multi-spectral images, road region division and double edge filtering strengthen; B. acquiring a vehicle sample characteristic value by visually judging a road region image obtained in the step one, and establishing a vehicle remote sensing image feature library; C. carrying out rough neural network vehicle extraction and fine facing objective vehicle extraction on the panchromatic images obtained in the step two; D. by utilizing a matching method relative to an image frequency domain, searching the vehicle position in fine extraction in the step three in multi-spectral images and carrying out matching; E. calculating a displacement amount of a same vehicle in the panchromatic and multi-spectral images according to the corresponding vehicle position obtained in the step three and the step four, thus estimating traffic flow parameter information; and F. verifying the traffic flow parameter information through precision evaluation. With the adoption of the method, static and dynamic traffic flow information in a large range series can be automatically and rapidly collected, the efficiency is high, and the method is simple and practicable.

A lightweight semantic segmentation method for a high-resolution remote sensing image comprises the steps of network construction, training and testing. Specifically, a deep semantic segmentation network of an encoder-decoder structure is constructed for a pytorch deep learning framework, after network training is carried out based on a remote sensing image data sample set, a to-be-tested remote sensing image serves as network input. A segmentation result of the remote sensing image is obtained. According to the method, on one hand, model parameters are reduced by decomposing depth separable convolution, the calculation complexity is reduced, the semantic segmentation time of the high-resolution remote sensing image is shortened, and the semantic segmentation efficiency of the high-resolution remote sensing image is improved; and on the other hand, semantic segmentation precision is improved through multi-scale feature aggregation, a spatial attention module and gating convolution, sothat the proposed lightweight deep semantic segmentation network can accurately and efficiently realize semantic segmentation of a high-resolution remote sensing image.

A high resolution bathymetric sidescan sonar system for measuring micro-geomorphy of the sea bottom having an underwater vehicle, an underwater electronic subsystem mounted on the underwater vehicle and containing a transmitter and a receiver, and two sonar arrays mounted symmetrically on two sides of a lower part of the underwater vehicle and being connected to the underwater electronic subsystem through a cable. Each sonar array has a transmitting linear array and three or more parallel receiving linear arrays. The parallel receiving linear arrays are arranged at equal spaces, and the space d between two adjacent parallel receiving linear arrays is λ>d≧λ / 2, in which λ is a wavelength of an acoustic wave, and an operation frequency of the parallel receiving linear arrays ranges from 30 kHz to 1200 kHz.

The invention relates to a hydrogen sensor and a Pd film hydrogen sensitive system, wherein the hydrogen sensor comprises introduction fiber, reflection fiber and a hollow tube, a surface of which has a Pd or Pb alloy film, the introduction fiber and the reflection fiber are respectively connected with two ends of a cavity of the hollow tube, two opposite fiber end faces are parallel and constitute an intervene cavity with the tube cavity. According to the Pd film hydrogen sensitive system, light with wide spectrum is transmitted to the introduction fiber of a hydrogen sensor, and intervene light generated on two opposite end of the introduction fiber and the reflection fiber is received, change of the length of the intervene cavity is determined through collecting intervene spectrum signals, further computing concentration of hydrogen. The invention overcomes problems that it is difficult to realize high resolution stable measurement due to light source fluctuation and optical fiber disturbance and the like, and is easy to be affected by temperature in prior art. Measurement result is correct and temperature is strong, cost is low.

A resistive touch control device and driving methods and a driving controller thereof are provided to switch operation modes of a touch panel. Depending on the user's requirement, the touch panel can be operated in multi-touch mode or only in an analog mode with high resolution. In other words, the touch control device can be operated in a digital mode, the analog mode, or a hybrid mode including both of the digital and the analog modes.