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公开(公告)号：US11874415B2
公开(公告)日：2024-01-16
申请号：US17131452
申请日：2020-12-22
发明人： Carlo Siebenschuh , Conrad M. Albrecht , Johannes Walter Schmude , Hendrik F. Hamann , Siyuan Lu , Oki Gunawan
CPC分类号： G01V1/008 , G06N3/04 , G06N3/08 , G06T7/246 , G06T2207/30181
摘要： From each of a plurality of cameras, a visual input of a location is received over a network. For each visual input from the plurality of cameras, a coupling correction is performed between a shaking of the camera with respect to the visual input by subtracting velocity vectors of the plurality of cameras from velocity vectors of pixels defining the visual input to provide a processed input. It is determined whether a shaking identified in the processed input is above a predetermined threshold based on the processed input, thereby detecting one or more anomalies. From the one or more anomalies, at least one of a location, magnitude, or depth of an earthquake are inferred based on the shaking identified in the processed input of each of the plurality of cameras.
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公开(公告)号：US11204896B2
公开(公告)日：2021-12-21
申请号：US15680850
申请日：2017-08-18
摘要： A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.
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公开(公告)号：US20210118117A1
公开(公告)日：2021-04-22
申请号：US16658533
申请日：2019-10-21
发明人： Conrad M. Albrecht , Hendrik F. Hamann , Levente Klein , Siyuan Lu , Sharathchandra Pankanti , Wang Zhou
摘要： Methods and systems for managing vegetation include training a machine learning model based on an image of a training data region before a weather event, an image of the training data region after the weather event, and information regarding the weather event. A risk score is generated for a second region using the trained machine learning model based on an image of the second region and predicted weather information for the second region. The risk score is determined to indicate high-risk vegetation in the second region. A corrective action is performed to reduce the risk of vegetation in the second region.
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公开(公告)号：US10664702B2
公开(公告)日：2020-05-26
申请号：US16119371
申请日：2018-08-31
发明人： Conrad M. Albrecht , Siyuan Lu , Fernando J. Marianno , Hendrik F. Hamann , Marcus O. Freitag , Levente I. Klein
摘要： A computer-implemented method for determining farm boundary delineations within a target geographic area, comprising extracting data from pixels of a satellite image of the target geographic area, evaluating the data using a classification algorithm to generate one or more line segments between adjacent pixels, the one or more line segments being representative of a portion of a boundary delineation, connecting the one or more line segments to an adjacent line segment to form a boundary delineation defining at least one parcel of land within the target geographic area, and generating a boundary delineation map including the boundary delineation.
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公开(公告)号：US11210268B2
公开(公告)日：2021-12-28
申请号：US15816357
申请日：2017-11-17
摘要： A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.
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公开(公告)号：US20210312677A1
公开(公告)日：2021-10-07
申请号：US16837529
申请日：2020-04-01
发明人： Conrad M. Albrecht , Marcus Oliver Freitag , Sharathchandra Pankanti , Siyuan Lu , Hendrik F. Hamann
摘要： Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.
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公开(公告)号：US10572976B2
公开(公告)日：2020-02-25
申请号：US15786735
申请日：2017-10-18
摘要： A system and method to enhance observation resolution using continuous learning include obtaining a first image of a surface area from a first satellite, and obtaining a second image of the surface area from a second satellite. The first image has a lower spatial resolution than the second image, and temporal resolution of the first images obtained by the first satellite is higher than temporal resolution of the second images obtained by the second satellite. The method also includes determining a convolution matrix A or training a neural network, obtaining additional one or more of the first images prior to obtaining an additional one of the second images, and generating a new image from each of the one or more of the first images using the convolution matrix A or the neural network. The new image has a higher spatial resolution than the one or more of the first images.
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公开(公告)号：US20190050687A1
公开(公告)日：2019-02-14
申请号：US15673947
申请日：2017-08-10
CPC分类号： G06K9/6265 , G06K9/0063 , G06K9/4642 , G06K9/6212 , G06K9/6228 , G06K9/6256 , G06K9/6267
摘要： A computer-implemented method includes receiving one or more training images depicting one or more training geographical regions. One or more environmental characteristic (EC) values are determined for the training images. The EC values include at least one EC value for each of the training images. One or more models are generated for mapping an EC value of an image to a determination of whether an artifact is present in a geographical region depicted by the image, based on the EC values and based on knowledge of which of the training images depict training geographical regions having artifacts present. A new image is received depicting a new geographical region. The models are applied to the new image. A probability that a new artifact is present in the new geographical region depicted in the new image is determined, based on the applying the models to the new image.
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公开(公告)号：US20180039885A1
公开(公告)日：2018-02-08
申请号：US15228753
申请日：2016-08-04
CPC分类号： G06N3/08 , G01N21/3504 , G01N33/0047 , G01N33/0062 , G01N33/0075 , G01N33/225 , G01N2021/3531 , G01V8/02
摘要： Methods and systems for detecting emission sites include identifying a set of known emitters having visible features and a spectroscopic signature that correspond to sites that emit a substance to form a training set. A classifier is generated based on the training set. New emitters are identified based on the classifier, a spectroscopic signature map, and a map of visible features. An alert is provided responsive to the identification of a new emitter.
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公开(公告)号：US11861780B2
公开(公告)日：2024-01-02
申请号：US17455371
申请日：2021-11-17
IPC分类号： G06T15/00 , G06F16/583 , G06F16/55 , G06F16/51
CPC分类号： G06T15/00 , G06F16/51 , G06F16/55 , G06F16/583
摘要： A computer implemented method rasterizes point cloud data. A number of processor units rasterizes the point cloud data into rasterized layers based on classes in which each rasterized layer in the rasterized layers corresponds to a class in the classes. The number of processor units creates key value pairs from the rasterized layers. The number of processor units store the key value pairs in a key value store. According to other illustrative embodiments, a computer system and a computer program product for rasterizing point cloud data are provided.
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