6results about How to "Reduce search area" patented technology

The invention discloses a carbon dioxide emission source itinerant monitoring method based on an NDIR technology, and relates to the technical field of environment monitoring. The method comprises the following steps: a detection vehicle collects carbon dioxide concentration data of each collection point along a planned path; comparing the carbon dioxide concentration data with a set carbon dioxide concentration threshold value, and performing grading treatment; when the carbon dioxide concentration is abnormal, other detection vehicles are cooperated for verification; according to the method, the problems of fixed monitoring points, untimely response and the like in the existing scheme can be effectively solved, and the method is suitable for the requirement of accurately and intelligently monitoring the carbon dioxide concentration in a complex environment.

The application relates to the technical field of building contour extraction, and discloses a building roof contour extraction method and device, electronic equipment and a storage medium, the method comprising the following steps: extracting a building boundary from an optical remote sensing image, and extracting a building vector frame from a vector map; performing global search in an initial search space by using a normalized cross-correlation similarity measure, performing template matching, and preliminarily positioning a building roof contour; calculating a global offset main direction angle, setting an angle tolerance, taking the global offset main direction angle as a central axis, taking the angle tolerance as a half width, generating a sector search space, performing local optimization in the sector search space by using the normalized cross-correlation similarity measure, performing template matching, iteratively adjusting the angle tolerance, converging the sector search space, repeatedly performing template matching, and obtaining a final building roof contour. The application carries out hierarchical matching from global search to local optimization, uses the normalized cross-correlation similarity measure template matching, and realizes building roof contour extraction.

The invention discloses a high-likelihood background analysis and judgment method for small unmanned aerial vehicle aerial image registration. The method comprises the following steps: selecting adjacent images according to collected image numbers and establishing a pixel matrix of the adjacent images; calculating a mean value, a variance and a covariance of adjacent image pixels; the correlation coefficient of the adjacent images # imgabs0 # and # imgabs1 # is calculated; analyzing the availability of the images # imgabs2 # and # imgabs3 # as high-likelihood background samples; and judging whether the adjacent image is a highly-similar background image or not. According to the method, the high-likelihood background image is provided for efficiently and rapidly obtaining the image registration feature points, the high-likelihood background can greatly reduce the search range of the feature points and obviously reduce the search noise of the feature points, the search efficiency of the feature points can be remarkably improved, and the method has very high practical value in three-dimensional live-action modeling of a construction site.

The invention discloses a fast motion and parallax estimation method for multi-view video coding, which comprises the following steps of: S1, taking all view images of the first ten frames of a video sequence, performing quadruple downsampling, and calculating an average offset vector Voffset (x, y) between a reference view and a referenced view by using an SIFT (Scale Invariant Feature Transform) feature extraction algorithm; s2, executing predictive coding of the first I frame of the main viewpoint and the first I frame of the auxiliary viewpoint to obtain a predictive frame after the predictive coding; s3, preparing non-I frame coding of the auxiliary viewpoint; and S4, sequentially executing the optimization on all CTUs of the current coding frame until all CTUs are coded.

The application discloses a direct positioning method and system based on AOA and TDOA multi-modal geometric constraints, and belongs to the technical field of radio monitoring and passive positioning. The method solves the problem that a traditional TDOA-DPD positioning method needs to divide a high-density calculation grid in a full detection area, realizes double promotion of calculation speed and positioning accuracy by introducing a multi-modal geometric observation boundary, shears a TDOA time difference error band by using an AOA angle measurement error cone, effectively reduces a search area, has the advantages of simple realization and simple deployment, and is suitable for practical production.

The present application relates to remote sensing image processing and target positioning technical field, in view of the existing SAR target positioning strong dependence on radar parameter, iterative solution is easy to diverge, the problem of difficult heterogenous matching, provide a kind of fusion geometry positioning and SAR target positioning method of heterogenous matching, comprising: obtaining airborne radar space position, straight down point position and motion velocity vector;Based on the space triangle formed by airborne radar, straight down point and target point, the rough coordinate of target is directly solved using geometric relationship, and is not dependent on Doppler frequency and radar wavelength;According to rough coordinate, determine SAR real-time map target template area and optical reference map search area, extract local gradient direction feature map, make local gray inversion area present consistent direction expression by nonlinear correspondence;Adopt similarity measurement matching to local gray inversion tolerance, obtain target accurate coordinate.The present application does not need iteration, reduces parameter dependence, improves robustness and precision.