148 results about "Medium resolution" patented technology

The invention provides a remote sensed estimating method of the large area planting area and the output, which establishes a spectrum which has the same growing stage and is correspondent with the field crown layer at the base of doing normal radiation and atmosphere adjustment to the remote sensed image, and computes the distance threshold value of the spectrum and compares the distance threshold value with the image initial wave spectrum and the reference wave spectrum to obtain TM plant unit, it then statistics the quantity of the TM plant unit from each image unit of middle resolution ratio imaging spectrum data MODIS with the same period and region to ascertain the planting number of the MODIS image, it then ascertains the planting area of the MODIS image according to each image unit area of the planting number and the MODIS.

The invention discloses a segmentation method of pathological section unconventional cells based on a multi-scale hybrid segmentation model. The method comprises steps that positive and negative samples are respectively scaled to low-resolution, medium-resolution and high-resolution images, the full convolutional network algorithm is utilized for training to acquire a convergent low-resolution segmentation model, a medium-resolution segmentation model and a high-resolution model; a multi-scale hybrid segmentation model is acquired through fusion by a model integration method; after the effective discriminating area of a new pathological section is processed through utilizing the data enhancement method during testing, the processed effective discriminating area is inputted to the multi-scale hybrid segmentation model, the probability of each pixel in the effective segmentation area is outputted, pixels with probability values greater than the threshold t are taken as abnormal cell pixels and are recorded as 1, remaining pixels are taken as normal cell pixels and are recorded as 0, binary images predicted by the multi-scale hybrid segmentation model are acquired, and post-processingon the binary images is carried out to acquire the final segmentation result. The method is advantaged in that high precision is realized, and a Dice value is above 0.869.

In order to obtain a digital still camera capable of storing only a desired image from photography images, a photography image data generation unit processes an image signal from a CCD to generate high-, middle-, and low-resolution image data. While a photography timing designation button is not depressed, the middle-resolution data is monitored in D1 of a display through a buffer memory. When the photography timing designation button is depressed, high- and low-resolution data of three consecutive frames are generated and stored in M2 to M7 of the buffer memory, and low-resolution data are displayed in D2 to D4 of the display. The high-resolution data are compressed and encoded, and then stored in C1 to C3 of a main memory. When the user selects, e.g., D3 of the displayed D2 to D4 with a touch panel, the corresponding data of C2 is extracted from C1 to C3 and stored in F1 of a nonvolatile memory.

The invention discloses a method for classifying remote sensing images blended with high-space high-time resolution data by an object oriented technology, and relates to a method for classifying remote sensing images of an oriented object, which can be used for solving the problem that the previous method for classifying remote sensing images can not be used for distinguishing land cover types of 'foreign bodies with the same spectrum', and is not suitable for being applied to the remote sensing images with low-medium resolution ratio. The method provided by the invention comprises the following steps: carrying out filter processing by applying an SG (screen grid) filter; determining a time sequence curve of typical vegetational MODIS-NDVI (moderate resolution imaging spectroradiometer-normalized difference vegetation index) in the remote sensing image to be classified; segmenting a TM (thematic mapper) image, wherein each segmentation unit is used as an object; extracting the characteristic information of each object; extracting all non-vegetation objects; removing the non-vegetation objects, and taking the obtained vegetational objects as planar vectors to segment MODIS-NDVI time sequence data, so as to obtain corresponding biotemperature information acquired by each vegetational object; and determining the vegetational type, to which each object belongs; and completing the land cover classification. The method provided by the invention can be used for distinguishing the land cover types.

A full flash analog to digital converter operates on an input voltage with a track/hold circuit coupled to a reference input of each of multiple comparators. Particular track/hold circuits are activated in sequence through a track/hold select circuit, and a look-up table and a digital-to-analog converter are coupled to supply corrected reference voltages to each track/hold circuit. Outputs of the comparators are supplied to a decoder which produces the digital output representative of the input voltage. The converter is calibrated before it is used for conversion by sensing the input offset voltages of each of the comparators and by altering the reference voltage for each comparator to produce a calibrated reference voltage for each comparator. A digital representation of the calibrated reference voltage for each comparator is stored in a look-up table for retrieval as needed to supply to a particular track/hold circuit a corresponding calibrated analog reference voltage for a particular comparator. Digital representations in the look-up table may indicate switch settings required to provide corrected reference voltages, or may indicate the required corrected reference voltage that is supplied by digital to analog converter which converts the digital representation into an analog corrected reference voltage that is held by the track/hold circuit. In this manner, each track/hold circuit is loaded with its respective calibrated reference voltage. An input signal applied to each comparator triggers such comparators upon parity between the corrected reference voltage and input voltage, and all comparator outputs are supplied to a decoder which produces a digital representation of the input signal. Occasionally, the entries in the look-up table and each track/hold circuit may be refreshed or updated in order to compensate for drift of the calibrated reference voltage.

The invention provides a medium-resolution-ratio and high-speed configurable asynchronous successive approximation type analog-digital converter. The medium-resolution-ratio and high-speed configurable asynchronous successive approximation type analog-digital converter comprises a sampling network, a comparator, a successive approximation control unit, an output latch and an asynchronous control unit. The sampling network is composed of a bootstrap switch and differential capacitor arrays, wherein the differential capacitor arrays comprise a first capacitor array and a second capacitor array, and the first capacitor array and the second capacitor array are composed of capacitor sets which are of a whole binary system structure. The comparator is used for comparing the voltage output by the first capacitor array and the voltage output by the second capacitor array. The successive approximation control unit is used for finishing the successive approximation process of the voltage output by the first capacitor array and the voltage output by the second capacitor array. The output latch is used for latching and outputting digital signals obtained after converting is finished. The asynchronous control unit is used for producing clock signals of the comparator. The converting speed of the analog-digital converter can be improved.

The invention relates to a geometric imaging construction method for a side-looking medium resolution ratio satellite. The method comprises the following step: (1) importing satellite image metadata and satellite almanac data to determine a satellite orbit and an attitude fitting equation, parameter initial value of a datalink node and other parameter initial values; (2) automatically primarily acquiring an image control point initial value according to an image metadata containing projection information of a reference; (3) manually setting at least three control points, automatically matching image control points by gray matching, automatically providing a control point missing area, and modifying distribution of control points in the control point missing area; (4) modifying distribution of control points for which the step (3) is completed, transforming coordinates, and constructing a geometric imaging model of the satellite; (5) modifying, iterating and calculating model parameters according to the acquired parameter initial values of step (1) and the geometric imaging model of step (4); and (6) outputting the corrected model result and accuracy index.

The invention relates to a license plate recognition method and system combining sequence image super-resolution reconstruction. The method includes: using a super-resolution reconstruction algorithm on the basis of a L1-L2 hybrid pattern to preprocess video images so as reconstruct clear high-resolution images; performing license plate positioning on the high-resolution images, to be more specific, using HSV color space combining an Otsu algorithm to position license plates, using a vertical projection method to perform character separation on the positioned license plates to obtain single characters, using the HOG feature information of the characters to generate a training set, and using an SVM manner to recognize the separated characters to obtain license plate character strings. By the method, the license plates can be accurately recognized in low-resolution videos, and the problem that the character recognition rate in the low-resolution videos is low is solved.

The invention discloses a method and a device for performing adaption on interface control. The method comprises the following steps: selecting a design resolution with the aspect ratio being the closest to that a screen resolution, and a design PPI value; scaling canvas at equal proportion according to the lateral resolution of the design resolution, and then performing longitudinal scaling; performing control scaling according to the ratio of the design PPI value and an equipment PPI value; selecting a medium resolution, with the width being the same with that of the design resolution, and the aspect ratio being the same with that of equipment resolution; performing longitudinal scaling on the canvas according to the medium resolution; scaling the canvas at equal proportion according to the ratio of the medium resolution and the equipment resolution. The method and the device determine an adaption scheme by reading equipment hardware information, are more pertinent for different equipment, and can improve the consistency of user experience. Meanwhile, the method and device contribute to the improvement of the efficiency at an adaptation stage, thereby accelerating the development rate.

To make it possible to accurately track a prescribed part. a low-resolution overall image is taken in from an input image, and a medium-resolution image, whose center is the head part, is extracted from it. When it is possible to extract a medium-resolution image in the middle of which is the head part, an even higher-resolution image is extracted, in the middle of which is the two-eyes part.

The invention discloses a device and method for detecting a terahertz signal multi-dimensional image through dual Fourier transformation. The device comprises a focal plane array receiver, a light splitting device, a frequency division multiplexing readout device and a system control module. A terahertz signal is outputted to a KID detector array after being processed by the light splitting device, a multi-tone signal generated by the frequency division multiplexing readout module is inputted to the KID detector array of the focal plane array receiver, and a multi-tone signal outputted by the KID detector array is outputted to the frequency division multiplexing readout module after being processed by a broadband low-temperature and low-noise amplifier so that real-time spectrum processing can be conducted on the multi-tone signal. The system control module controls the light splitting device and the frequency division multiplexing readout module, reads a broadband continuous spectrum signal amplitude and spectrum signal interference map, conducts low-medium resolution spectrum processing on the interference map, and conducts multi-dimensional terahertz image signal processing on the read signal. According to the device and the method, the technology of highly flexibly detecting a terahertz signal broadband continuous spectrum and low-medium resolution spectrum map can be achieved, and the terahertz signal multi-dimensional image can be detected.

The invention discloses monitoring system and method of a remote temperature image of a substation. In the system, a panoramic monitoring thermal infrared imager, a fixed point monitoring thermal infrared imager and a movable monitoring thermal infrared imager are connected with a data processing server through a network interface; and a monitoring terminal is connected with the data processor through a network switch. The panoramic monitoring thermal infrared imager and the fixed point monitoring thermal infrared imager in the system can be used for carrying out fixed point monitoring by matching high resolution with low resolution on the substation; and the movable monitoring thermal infrared imager with intermediate resolution is used for further monitoring fault equipment so as to determine faults. The remote temperature image monitoring is carried out on the substation by using a method of combining the matching of the high resolution and the low resolution, fixed movement and network communication. The invention has the advantages of low cost of the input and the use of monitoring equipment, complete and accurate monitoring, high efficiency and remote and unmanned duty.

The invention solves the problems of low precision of the conventional method for identifying a golf course based on a medium-resolution remote-sensing image and high cost and narrow amplitude of the conventional method for identifying the golf course based on a high-resolution image and a high-spectrum image in the prior art, and provides a method for identifying the golf course based on a medium-resolution multispectral remote-sensing image. The basic concept of the method is that a target region of the golf course is obtained by identifying two basic elements, namely a fairway lawn and a water body, of the golf course according to a space co-occurrence characteristic combination; thematic information of a third basic element, namely a sandpit, in the target region is extracted; and therefore, whether the target region of a ball park is the golf course is judged by taking the single target region as a unit and taking level landscape indexes of the types of the fairway lawn, the water body and the sandpit in the target region and a level landscape index of the landscape of the whole target region of the golf course as distinctive characteristics of the ball park. The method has the advantages of high pertinency, high precision and low cost.

The invention relates to a method for performing inversion on the optical property of aerosol of a coastal zone, and provides a new algorithm for performing inversion on the optical property of the aerosol of a coastal area in China by using a satellite image aiming at the characteristics of a large number of aerosol particles with high reflectivity and strong absorbability on the ocean surface of the coastal area in China. In the algorithm, the research is conducted by taking an image of a moderate resolution imaging spectroradiometer (MODIS) as an example; the inversion of the optical property of atmospheric aerosol over a muddy water area is finished by using the images of long wave bands of 1,240 nm, 1,640nm and 2,133 nm of the MODIS and a lookup table; and the correctness and applicability of the algorithm are verified by using an foundation observation result of a cleaning day. Theoretical basis is provided for adding a channel with long wave bands and transmissivity into a Chinese sea color remote sensor, the condition of the aerosol over the coastal zone can be reflected in real time, and decision basis is provided for related functional departments.

The invention belongs to the field of a medium-resolution remote sensing image discrete point DEM (Digital Elevation Model) construction method, which discloses a medium-resolution remote sensing image discrete point DEM construction method based on medium value filtering. The medium-resolution remote sensing image discrete point DEM construction method comprises the following steps of: 1. calculating tidal height information at a satellite imaging moment; 2. dispersing a vector waterline extracted at the satellite imaging moment; 3. combining equidistant tidal level points dispersed in the above steps, building the reference grid of the median filtering according to a remote sensing image resolution ratio, labeling all dispersed equidistant tidal level points, and marking the ID (Identity) of the grid to which the equidistant tidal level points belong; 4. traversing all grids; and 5. on the basis of a median filtering result, building a final DEM result by linear interpolation. In the method disclosed by the invention, the method of median filtering effectively utilizes the elevation information of all discrete points falling in the grids to improve the elevation precision of the discrete point.

The invention belongs to the technical field of forest fire monitoring methods. The invention particularly relates to a forest fire monitoring method based on the 3S technology which is used for monitoring forest fire by combining medium-resolution remote sensing data, multispectral high-resolution remote sensing images and GPS positioning sampling information, and can improve the accuracy and efficiency of fire information identification. The method comprises the steps: processing medium and low resolution MODIS data of a disaster area, multispectral high resolution sentry number 2 remote sensing monitoring satellite images before and after the disaster, field data acquisition, identification of a fire area and generation of a monitoring service report. The method for improving the remotesensing interpretation efficiency through field sampling has the advantages that technicians can obtain image data in real time, fire area coarse positioning can be rapidly conducted through images with medium resolution, and finally accuracy and rapidness are achieved by combining GPS positioning sampling information.

The invention discloses a method for rapidly visualizing multi-scale image segmentation results for large images, which comprises the following steps: in the process of carrying out region segmentation and storage on an original image, segmenting the original image into a plurality of regions, identifying pixels in each region by using corresponding ID (identification) values so as to obtain an object ID image, and establishing an image pyramid; when a user browses, pre-loading images at the lower-resolution layer of the image pyramid; according to the operation of the user, judging the spatial resolution after the operation of the user is completed, determining the data of selected and extracted corresponding layers of the image pyramid, and according to the current view range, reading corresponding pixels in corresponding layers of the image pyramid; in the process of rendering edges of segmentation results, traversing each pixel, and judging whether the pixel is the boundary by using the most adjacent sampling; and when the user clicks some region in the current view range by using a mouse, judging the ID value of a pixel clicked by the mouse firstly, and then carrying out highlighting on the pixels with a same ID value.

A method provides for determining an optimal sample dimension when descreening high-resolution image data so that a lower resolution image color proof may be created without suffering the problems typical of over sampling image data. The method allows to generate a single set of image data to create on-the-fly either a medium resolution color proof or a high resolution printed image without having to RIP the data twice, once for the proof, and once for the printed image.

The invention discloses a remote-sensing surface temperature downscaling algorithm. The algorithm comprises the following steps: step one, implementing a nuclear driving algorithm to obtain a high-resolution surface temperature; step two, on the basis of an image fusion algorithm, acquiring a medium-resolution surface temperature; and step three, carrying out weighted combination on the high-resolution surface temperature obtained at the step one and the medium-resolution surface temperature obtained at the step two to obtain a high-resolution surface temperature. According to the remote-sensing surface temperature downscaling algorithm based on nuclear driving and image fusion, the surface temperature of a time sequence is processed by downscaling to obtain a high resolution. Because of the nuclear drive method, the spatial resolution of the auxiliary data is high; the image fusion method has the higher temporal prediction ability; and with utilization of advantages of the two kinds of methods, temperature downscaling is carried out by using the multi-source remote sensing data. Compared with the separate nuclear drive method, the remote-sensing surface temperature downscaling algorithm is suitable for the heterogeneous regions better; and compared with the separate fusion method, the remote-sensing surface temperature downscaling algorithm can obtain a multi-phase surface temperature with higher resolution.