Abstract:
The present application proposes a method and apparatus for transfer learning-based localization of igneous carbonate-hosted rare earth mineralization. The technology relates to electromagnetic exploration and includes obtaining exploration data for electric, magnetic, seismic, and gravity methods in the target area. Transfer learning-based localization is applied to the electric, magnetic, seismic, and gravity exploration data to determine the cross-sectional map corresponding to the anomalous position of igneous carbonate-hosted rare earth mineralization in the target area. Feature decomposition dimensionality reduction, feature enhancement, and weighted fusion processing are applied to the cross-sectional map, followed by segmentation of the igneous carbonate-hosted rare earth mineralization geological body in the fused image to obtain the spatial distribution of the detection target. The integrated analysis of multi-source geophysical data using images improves the accuracy of identification and localization of igneous carbonate-hosted rare earth mineralization.
Abstract:
The embodiment of the invention provides a ground-air TEM transverse magnetic polarization field detection method and system, and a forward modeling method and device. The ground-air TEM transverse magnetic polarization field detection method comprises: adopting an umbrella-shaped source as a ground emission source, wherein the umbrella-shaped source is an emission source device comprising a plurality of emission line sources, the lengths of the emission line sources are the same, one end of each emission line source is connected to the center of the umbrella-shaped source, the emission line sources are arranged in an umbrella rib mode, current directions diverge outwards from the center along each emission line source, and included angles between adjacent emission line sources are identical; and using the umbrella-shaped source to detect a ground-air transient electromagnetic field, and obtaining the horizontal magnetic field component data of the umbrella-shaped source, thus realizing the observation of a ground-air TEM transverse magnetic polarization field. The above technology of the invention can cover the shortage of a ground-air TEM in high-resistance target detection.
Abstract:
The present application proposes an airborne electromagnetic signal observation device and a system carried by an unmanned aerial vehicle (UAV). The device includes an inner frame, an outer frame and a flexible support that are connected to each other. The device and the system can enhance the stability of the sensor in flight and greatly suppress motion noise.
Abstract:
The present solution enables a packet switched connection to be temporarily released at the wireless terminal for supporting voice calls over a Circuit-Switched (CS) Fallback. The packet switched connection of the LTE core network retained for a pre-defined period of time during the CSFB session allowing the user to quickly switch back to the packet switched connection when the CSFB session is shorter than the predefined period or when the voice call CSFB attempt fails. This is accomplished by the introduction of a timed buffer to control the length of time the LTE core network connection and wireless context information will be retained.
Abstract:
Provided are a geological target identification method and apparatus based on image information fusion. The method includes: generating a first digital sectional map and a second digital sectional map of the same depth from a first data volume and a second data volume, respectively; configuring data of the first digital sectional map and the second digital sectional map on a universal coordinate system to form a first registered color map and a second registered color map; pre-processing the first registered color map and the second registered color map to form a first source image and a second source image; decomposing the first source image and the second source image respectively into a low frequency sub-band image and a high frequency sub-band image; fusing the two low frequency sub-band images; fusing the two high frequency sub-band images, reconstructing the fused low frequency sub-band image and the fused high frequency sub-band image, and segmenting the occurrence position of a geological body in the fused image by using a segmentation method to obtain a spatial occurrence form of a detection target.
Abstract:
This application provides an adaptive damping magnetic field sensor, including: a receiving coil, an adaptive damping matching resistance circuit, and an amplifying circuit; where the receiving coil is used for receiving an earth response signal generated by the earth under excitation of an emission source, and generating an induced voltage; the adaptive damping matching resistance circuit is used for receiving the induced voltage generated by the receiving coil and automatically matching a damping resistance value to obtain a near-source broadband observation signal; and the amplifying circuit is used for amplifying the observation signal with a constant gain and outputting a sensor output signal. This application carries out automatic matching control on the damping resistance value through the adaptive damping matching resistance circuit, thereby ensuring that the sensor can stably and reliably implement fine observation of an earth response under near-source, broadband and complex scene conditions.
Abstract:
Embodiments of a method for measurement of electromagnetic field strength at a point of interest in a coverage area of a 2-dimensional (2D) active antenna system (AAS). The 2D AAS transmits with a load factor of 100 percent. The 2D AAS sweeps a predefined range of azimuth and elevation angles, and azimuth and elevation directions which yield highest EMF at the point of interest are determined. First beamforming weights are determined based on the azimuth and elevation directions and the 2D AAS caused to apply the first beamforming weights. The 2D AAS sweeps a co-phasing angle from 0 to 360 degrees, and a co-phasing angle which yields highest EMF is determined. Second beamforming weights are determined based on azimuth and elevation directions and the co-phasing angle, and the 2D AAS caused to apply the second beamforming weights. The EMF strength at the point of interest is measured.
Abstract:
The present disclosure discloses a distributed airborne electromagnetic detection system, and relates to an airborne electromagnetic detection technology. The distributed airborne electromagnetic detection system comprises at least one transmitting system, at least one receiving system, at least one trunk module, and an earth station, and also a plurality of Unmanned Aerial Vehicles (UAVs) for carrying the transmitting system, the receiving system, and the trunk module. The distributed airborne electromagnetic detection system does not require high performance or high economical efficiency for a single UAV; under precise synchronous flight conditions, the distance between a type I UAV and a transmitting loop structure can be greatly reduced, thereby significantly reducing the length of unwanted transmitting cable; and in addition, due to the better low-altitude low-speed performance of UAVs, the traveling speed of the entire system can be further reduced, thus obtaining higher quality data.