3results about How to "Reduce search area" patented technology

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 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.