3 results about "Curvelet" patented technology

This invention provides a curvewave domain-based method for removing strong axes based on reflection coefficient attribute volumes, relating to the field of seismic data processing technology. The method includes: performing spectral inversion processing on raw seismic data to generate a reflection coefficient volume; based on the reflection coefficient volume, performing multi-scale, multi-directional layer-by-layer analysis in the curvewave domain, i.e., extracting reflection coefficient curves for each analysis window, determining inflection point locations by calculating the zero point of the second derivative of the curves to identify abrupt changes in the reflection coefficient; simultaneously, constructing local discrete surfaces based on the reflection coefficient volume, identifying local geometric anomaly regions of the reflection coefficient volume by fitting surface patches and calculating Gaussian curvature; and extracting strong reflection coefficient components by combining the determined inflection point locations and the identified local geometric anomaly regions. This invention can achieve precise stripping of strong reflection energy and faithful protection of effective weak signals, improving the reliability of seismic data in identifying and analyzing subsurface lithology and geological structures.

The application discloses a kind of construction curve generation method, including the following main steps: S1, the first arch of standard cycloid is selected as the basis arc segment of construction curve half section;S2, the second arch of standard cycloid is copied after mirror image with straight line y=2r as the axis of symmetry, and the basic unit of construction curve is obtained;S3, the basic unit obtained in S2 is copied 2 (n-1) along the positive direction of x axis, and then copied 4 (n-1) r along the positive direction of y axis, that is, the nth basic unit (n=2, 3, 4, 5,...) of construction curve can be obtained, and the curve formed by the connection of the n basic units forms a complete construction curve.The application also discloses a flow channel structure and a printed circuit board heat exchanger.The application can improve the average rate of medium flow, reduce the flow dead space in the transition area of wave crest and wave trough, enhance the disturbance of fluid medium in the channel, thereby destroying the flow heat transfer boundary layer to achieve the purpose of heat transfer enhancement.

This invention discloses a method for classifying and recognizing ornamental plants based on graph neural networks, comprising the following steps: acquiring sample images of ornamental plants, performing preprocessing and organ region segmentation; calling the GSG network to construct a curvelet scattering module and performing multi-scale directional decomposition; mapping directional feature representations to edge space to construct a topological representation, preserving node connectivity and directional propagation relationships; performing Hodge decomposition on the topological representation, dividing it into three branches; constructing GSG scattering pyramids in each of the three branches, progressively expanding the depth and scale; performing feature alignment and weighted fusion to generate plant-level feature vectors; inputting the plant-level feature vectors into a classification module, outputting classification probabilities and category labels, and generating an organ region contribution heatmap. This invention enhances multi-scale feature extraction and orientation-sensitive modeling capabilities, improving the accuracy and stability of plant classification and recognition.