中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

21 records (took 0.018 seconds)

    INFERRING HIGH RESOLUTION IMAGERY
    11.
    发明公开
    INFERRING HIGH RESOLUTION IMAGERY 审中-公开

    公开(公告)号：US20240144424A1

    公开(公告)日：2024-05-02

    申请号：US17976233

    申请日：2022-10-28

    Applicant: X Development LLC

    Inventor： Hongxu Ma ,  Yuchi Ma ,  Hong Wu

    IPC: G06T3/4053 ,  G06V10/44 ,  G06V20/10 ,  G06V20/13

    CPC classification number: G06T3/4053 ,  G06V10/44 ,  G06V20/13 ,  G06V20/188

    Abstract: Implementations are described herein for using one or more transformer networks to generate inferred image data based on processing image data capturing a particular geographic area during a particular time period, including first image data captured in a first spectral band and at a first spatial (and/or temporal) resolution and second image data captured in a second spectral band and at a second spatial (and/or temporal) resolution. The inferred image data can include second spectral information at the first spatial (and/or temporal) resolution, or vice versa. Thus, the spatial and/or temporal resolution of image data of a certain spectral band can be improved, allowing for more effective usage of satellite imagery in agricultural settings.

    DATA BAND SELECTION USING MACHINE LEARNING
    14.
    发明申请
    DATA BAND SELECTION USING MACHINE LEARNING 有权

    公开(公告)号：US20220383606A1

    公开(公告)日：2022-12-01

    申请号：US17834269

    申请日：2022-06-07

    Applicant: X Development LLC

    Inventor： Jie Jacquot ,  Hongxu Ma ,  Allen Richard Zhao ,  Vadim Tschernezki ,  Ronald Votel

    IPC: G06V10/143 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06V10/40

    Abstract: Methods, systems, apparatus, and computer-readable media for data band selection using machine learning. In some implementations, image data comprising information for each of multiple wavelength bands is obtained. A multi-layer neural network is trained using the image data to perform one or more classification or regression tasks. A proper subset of the wavelength bands is selected based on parameters of a layer of the trained multi-layer neural network, where the parameters were determined through training of the multi-layer neural network using the image data. Output is provided indicating that the selected wavelength bands are selected for the one or more classification or regression tasks.

    DATA BAND SELECTION USING MACHINE LEARNING
    15.
    发明申请
    DATA BAND SELECTION USING MACHINE LEARNING 有权

    公开(公告)号：US20210374448A1

    公开(公告)日：2021-12-02

    申请号：US16887037

    申请日：2020-05-29

    Applicant: X Development LLC

    Inventor： Jie Jacquot ,  Hongxu Ma ,  Allen Richard Zhao ,  Vadim Tschernezki ,  Ronald Votel

    IPC: G06K9/20 ,  G06K9/62 ,  G06T3/40 ,  G06K9/46 ,  G06N3/04 ,  G06N3/08

    Abstract: Methods, systems, apparatus, and computer-readable media for data band selection using machine learning. In some implementations, image data comprising information for each of multiple wavelength bands is obtained. A multi-layer neural network is trained using the image data to perform one or more classification or regression tasks. A proper subset of the wavelength bands is selected based on parameters of a layer of the trained multi-layer neural network, where the parameters were determined through training of the multi-layer neural network using the image data. Output is provided indicating that the selected wavelength bands are selected for the one or more classification or regression tasks.

    SAMPLE SEGMENTATION
    16.
    发明申请
    SAMPLE SEGMENTATION 有权

    公开(公告)号：US20240412375A1

    公开(公告)日：2024-12-12

    申请号：US18676307

    申请日：2024-05-28

    Applicant: X Development LLC

    Inventor： Hongxu Ma ,  Allen Richard Zhao ,  Cyrus Behroozi ,  Derek Werdenberg ,  Jie Jacquot ,  Vadim Tschernezki

    IPC: G06T7/11 ,  G06V10/26

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.

    GENERATION AND APPLICATION OF LOCATION EMBEDDINGS
    18.
    发明申请
    GENERATION AND APPLICATION OF LOCATION EMBEDDINGS 有权

    公开(公告)号：US20220292330A1

    公开(公告)日：2022-09-15

    申请号：US17200097

    申请日：2021-03-12

    Applicant: X Development LLC

    Inventor： Hongxu Ma ,  Gengchen Mai ,  Bin Ni

    IPC: G06N3/04 ,  G06N3/08 ,  G06F16/29

    Abstract: Implementations are described herein for generating location embeddings that capture spatial dependence and heterogeneity of data, making the embeddings suitable for downstream statistical analysis and/or machine learning processing. In various implementations, a position coordinate for a geographic location of interest may be processed using a spatial dependence encoder to generate a first location embedding that captures spatial dependence of geospatial measure(s) for the geographic location of interest. The position coordinate may also be processed using a spatial heterogeneity encoder to generate a second location embedding that captures spatial heterogeneity of the geospatial measure(s) for the geographic location. A combined embedding corresponding to the geographic location may be generated based on the first and second location embeddings. The combined embedding may be processed using a function to determine a prediction for one or more of the geospatial measures of the geographic location of interest.

    PREDICTING CLIMATE CONDITIONS BASED ON TELECONNECTIONS
    19.
    发明申请
    PREDICTING CLIMATE CONDITIONS BASED ON TELECONNECTIONS 有权

    公开(公告)号：US20210405252A1

    公开(公告)日：2021-12-30

    申请号：US16911278

    申请日：2020-06-24

    Applicant: X Development LLC

    Inventor： Hongxu Ma ,  Kunxiaojia Yuan ,  Fa Li ,  Charlotte Leroy ,  Grigory Bronevetsky

    IPC: G01W1/10 ,  G01W1/02 ,  G01W1/14 ,  G06N20/00

    Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.

Patent Agency Ranking