16 results about "Optical branch" patented technology

The invention discloses a remote sensing target detection model based on dynamic receptive field and multi-modal fusion. The remote sensing target detection model comprises the following steps: firstly, acquiring and preprocessing an optical remote sensing image and an SAR remote sensing image; then constructing a feature extraction network of the optical remote sensing image and the SAR remote sensing image, and obtaining feature output of the optical image and the SAR remote sensing image; modal-adaptive dynamic receptive field modules are embedded into the optical branch and the SAR branch respectively and are used for dynamically adjusting the size of a target receptive field according to target characteristics; then, through a cross-modal feature alignment and fusion module, the problem of geometric distortion is solved by utilizing deformable convolution, bidirectional alignment is performed on optical image features and SAR image features, and feature-level intelligent fusion is realized by adopting a space attention mechanism; according to the method, the complementary advantages of optical and SAR images are brought into full play, the size of a space receptive field is adaptively adjusted through a dynamic receptive field mechanism, and the calculation complexity is remarkably reduced while the detection precision is ensured.

An optical input / output chip and distributed computing system, including: output sub-chip includes first light processing module to form N first light branches output from laser source, divide and modulate each first light branch into M first light sub-branches according to M wavelengths, form second optical branches containing N different modes from N modulated first optical branches before being output in first polarization state; input sub-chip includes second optical processing module, to form N third optical branches containing same mode from N second optical branches containing different modes, divide out part of light in each third optical branch having been converted from first polarization state to second, and form first polarization state again, combine and demodulate light in the first polarization state without conversion in original third optical branch after having been divided into M second optical sub-branches according to M wavelengths respectively. Thus increasing both communication rate and bandwidth effectively.

The application discloses a kind of SAR data active integration's remote sensing data timing seamless reconstruction method and device, belong to remote sensing image processing and space-time information analysis technical field.Sentinel-2 waveband and Sentinel-1 dual polarization data are screened and time-space alignment, radiation normalization and cloud mask construction are completed;Parallel operation dual-branch deep network optical branch extracts multi-scale space-time characteristics, SAR branch uses deformable convolution+texture self-attention to mine multi-scale directional texture;Then optical characteristics are used as Query, in cloud mask marked area active search SAR Key-Value complementary information, realize deep fusion by cross-modal multi-head attention;Fusion result is jointly corrected by relative time distance coding, time attenuation factor and cloud perception mask, and long-time sequence attention drift is inhibited;Final level fusion multi-level feature and adaptive weighting are outputted, and full-time seamless image is outputted.

The invention discloses a mechanical transfer displacement response calculation method of a finite periodic chiral unit structure, which is used for efficiently solving a compression-torsion coupling response of a finite chiral structure and representing acoustic and optical branch polarization. The method comprises the following steps: constructing a chiral subunit dynamic model consisting of a disc and an inclined elastic rod piece, and establishing a longitudinal polarization and torsional polarization coupling relationship based on bending deformation and tension-compression deformation of the rod piece under the action of longitudinal or torsional simple harmonic load, the method comprises the following steps of: obtaining longitudinal and torsional deviation amplitude values of acoustic branches and optical branches of each disc under low frequency and high frequency, superposing the polarization of the two branches in generalized coordinates to form displacement and torsional description, calculating kinetic energy, bending potential energy and tension-compression potential energy according to the displacement and torsional description, and establishing a fluctuation control equation by adopting a Lagrange equation; and substituting the inertia matrix, the stiffness matrix, the force boundary condition and the displacement boundary condition to solve the transfer displacement response and the transfer characteristic. The method can separate and quantify two branch contributions, and is suitable for chiral phononic crystal vibration isolation and filtering structure design.

This invention relates to a packaging box for a dual-channel PLC optical splitter for a space station and its manufacturing method. The packaging box for the dual-channel PLC optical splitter for a space station includes a box body, two input optical cable protective sleeves installed inside the box body, two sets of PLC cores that serve as backups for each other, a multi-output optical cable protective sleeve, and an array slot output positioning block. The two input optical cable protective sleeves and the multi-output optical cable protective sleeve are respectively installed at both ends of the box body. One axial end of each set of PLC cores has a single fiber of multi-output protection tube. An array slot output positioning block with an array of positioning slots is installed inside one end of the box body. One axial end of the multi-output optical cable protective sleeve passes through and is fixed in multiple positioning slots. The single fiber of the multi-output protection tube passes through the multi-output optical cable protective sleeve to form a multi-output optical cable. The other axial end of each set of PLC cores has a single fiber of two input protection tubes. The single fiber of the two input protection tubes passes through the two input optical cable protective sleeves to form two input optical cables.

The present invention relates to a lidar device for detecting the environment of a vehicle (10), wherein the lidar device comprises the following: at least one laser light source (18) designed to emit laser light, a plurality n of optical heads (12) each with an optical transmitting (36) and receiving unit for emitting laser light into the environment and for receiving laser light reflected from the environment, wherein Each optical head (12) is assigned a detector (20) which is designed to convert received laser light into electrical signals, According to the invention, a first optical splitter (24) is provided which is configured to divide the emitted laser light of the at least one laser light source (18) into n parts and to direct them into n optical branches (28), each of which includes one of the optical heads (12) and one of the detectors (20).

A beam splitter is provided to divide incident light into a multitude of different components and to emit these components. The beam splitter comprises a first light-transmitting element, which has a first surface and is transparent to the incident light; a second light-transmitting element, which has a second surface and is transparent to the incident light; an optical branching layer, which serves to split the incident light into the multitude of components; and an adhesive element configured to connect the first and second light-transmitting elements. The first and second light-transmitting elements are arranged so that their first and second surfaces face each other, with the optical branching layer positioned between them.

This invention discloses a method and apparatus for seamless temporal reconstruction of remote sensing data by actively integrating SAR data, belonging to the field of remote sensing image processing and spatiotemporal information analysis technology. The method involves screening Sentinel-2 and Sentinel-1 dual-polarization data and performing spatiotemporal alignment, radiometric normalization, and cloud mask construction. A dual-branch deep network is run in parallel; the optical branch extracts multi-scale spatiotemporal features, while the SAR branch mines multi-scale directional textures using deformable convolution and texture self-attention. Subsequently, the optical features are used as queries to actively retrieve complementary key-value information from the SAR data within the cloud mask-marked region, achieving deep fusion through cross-modal multi-head attention. The fusion result is then jointly corrected by relative temporal distance encoding, temporal decay factor, and cloud-sensing mask to suppress long-term attention drift. Finally, multi-level features are hierarchically fused and adaptively weighted to output a seamless, full-temporal image.

The present invention provides a communication device that is a base station included in a MIMO system using hybrid BF and RoF, the MIMO system including an optical amplifier having a constant output, the optical amplifier being provided between a multiplexer that multiplexes RoF signals and a demultiplexer that demultiplexes an output of the multiplexer by wavelengths. The communication device includes: the demultiplexer; a plurality of photoelectric converters that convert incident RoF signals into radio signals; optical branches that branch the incident RoF signals; an optical switch that switches one or both of an output destination of signals demultiplexed by the demultiplexer and an output source of signals to be input to the photoelectric converters; and a control unit that controls an operation of the optical switch on the basis of an optical level of each of RoF signals obtained by the demultiplexer by wavelengths.

This invention relates to a photonic chip-integrated micro-hemispherical resonator gyroscope, belonging to the field of microelectromechanical systems (MEMS) technology. It includes: a vacuum cavity, a substrate disposed within the vacuum cavity, and an uncoated micro-hemispherical resonator disposed on the substrate; interdigitated electrode driving units and a silicon-based photonic chip are also disposed on the substrate; the interdigitated electrode driving units are arranged below the edge of the uncoated micro-hemispherical resonator; the silicon-based photonic chip includes a laser, a first multimode interferometer beam splitter, an optical branch coherent functional component, and a photodetector connected sequentially in the optical path; the number of the optical branch coherent functional component and the photodetector corresponds to the number of output terminals of the first multimode interferometer beam splitter, and the grating coupler group in the optical branch coherent functional component is arranged below the edge of the uncoated micro-hemispherical resonator. This invention can retain the intrinsic high Q value of the resonator and achieve miniaturized and integrated micro-hemispherical resonator gyroscope.

The invention relates to an optical image cloud removal method based on CNN-Transform heterogeneous architecture and SAR (Synthetic Aperture Radar) guidance, and belongs to the technical field of image processing and computer vision. The method comprises the following steps: respectively extracting structure and spectral features by constructing SAR and optical parallel double branches; cross-axis attention is integrated to an optical branch, mining of global spectral context and long-range space correlation of an optical image is realized, and meanwhile, the calculation complexity is reduced; designing a cross-modal guide mechanism between the double branches, and establishing semantic level association between structural information in the SAR image and spectral information of the optical image; and finally, realizing accurate feature alignment and adaptive weighting through a spatial adaptive fusion strategy. And finally, a high-quality reconstruction effect with a clear ground object structure and natural spectrum transition is achieved under a complex cloud coverage condition, and the precision and efficiency of the cloud removal effect are remarkably improved.

The application provides a remote sensing image cloud removing method and system based on optical remote sensing images and synthetic aperture radar images, and belongs to the technical field of remote sensing image processing. The method first acquires paired optical remote sensing images and synthetic aperture radar images; then a double-branch feature extraction network of an optical branch and a SAR branch is constructed to extract spectral and context features of the optical images and structural and texture features of the SAR images respectively; on this basis, the optical features and the SAR features are dynamically weighted and fused through a hierarchical cross-modal adaptive fusion module to obtain a fused feature map; and finally, the fused feature map is reconstructed to output a cloud-free remote sensing image. The application can realize high-quality remote sensing image cloud removing reconstruction under complex cloud conditions.

The invention discloses an SAR and optical image fusion-oriented modal collaborative adaptive weight space target identification method, which comprises the steps of S1, constructing a multi-modal data set of satellite optical and SAR images, the data set comprising N pairs of registered SAR and optical images and corresponding category labels; s2, respectively extracting depth feature representations of the optical image and the SAR image obtained in the S1; s3, predicting the imaging quality of each modal of the depth features extracted in the S2, realizing QADA quality perception fusion through quality-guided asymmetric cross attention, constructing quality-enhanced fusion feature representation, and calculating the basic loss of an optical branch, an SAR branch and a fusion branch; s4, based on the three-branch basic loss and the prediction probability calculated in the S3, dynamically calculating respective loss weights through five cooperative factors MSAW, and jointly optimizing three-branch network parameters by using weighted total loss and consistency regularization until convergence; and S5, inputting the test data into the network to predict and identify the satellite category.

The invention relates to a photon chip integrated micro-hemispherical resonator gyroscope, which relates to the technical field of micro electro mechanical systems, and comprises a vacuum cavity, a substrate arranged in the vacuum cavity, and an uncoated micro-hemispherical resonator arranged on the substrate, an interdigital electrode driving unit and a silicon-based photon chip are also arranged on the substrate; the interdigital electrode driving unit is arranged below the edge of the uncoated micro-hemispherical harmonic oscillator; the silicon-based photon chip comprises a laser, a first multimode interferometer beam splitter, an optical branch coherent functional component and a photoelectric detector which are sequentially connected according to an optical path; the number of the optical branch coherent functional components and the photoelectric detectors corresponds to the number of the output ends of the beam splitter of the first multimode interferometer, and grating coupler groups in the optical branch coherent functional components are arranged below the edge of the uncoated micro-hemispherical harmonic oscillator. According to the invention, the intrinsic high Q value of the harmonic oscillator can be kept, and the miniaturization integration of the micro-hemispherical resonator gyroscope is realized.

The application discloses a landslide detection method based on adaptive fusion of optical satellite remote sensing and DEM data, and takes optical satellite remote sensing data and DEM data as core inputs to construct a heterogeneous double-branch high-resolution network: the optical branch adopts HRNet-W48 to extract spectral texture features, and the DEM branch adopts a lightweight HRNet-W18 to extract terrain geometric features. A terrain perception gating fusion module is designed, a pixel-level weight mask is dynamically generated based on the terrain features reflected by the DEM data through the gating network, and the adaptive weighted fusion of optical and terrain features is realized in the form of residual error; a CE+BCL combined loss function is proposed, and the boundary contrast loss is used to strengthen the supervision of the landslide edge area. The application effectively solves the problems of rigid fusion strategy, loss of spatial details and fuzzy boundary in the traditional method, and significantly improves the accuracy, boundary clarity and complex scene adaptability of landslide recognition.

The invention belongs to the field of laser communication, and particularly discloses an indoor laser communication and distance measurement integrated terminal, a distance measurement method and a link establishment method. According to the invention, based on the retro-reflection light formed by the coated optical fiber / retro-reflection prism module of the opposite terminal, the coupling efficiency of the retro-reflection light is detected by the photoelectric detector at the own terminal for alignment, and the angle measurement function unit is integrated into the optical fiber module for laser communication, so that the integration of communication and angle measurement is realized. On the premise that the angle measurement precision is guaranteed, an angle measurement optical branch in a traditional scheme is omitted, the size and weight of the system are reduced, and the structure is compact; the number of optical axes of the laser terminal is reduced, and the system anti-vibration capability is enhanced. In addition to laser communication, the relative distance between the terminals is obtained through nutation in alignment, compared with an existing distance measurement method, laser modulation or additional detection equipment does not need to be additionally carried out, only devices used in the communication alignment process need to be used, additional angle measurement devices are not added, and communication and distance measurement integration is achieved.