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1.发明申请公开(公告)号：US20210264217A1
公开(公告)日：2021-08-26
申请号：US17193651
申请日：2021-03-05
申请人： OmniEarth, Inc.
发明人： Shadrian Strong , David Murr , Lars P. Dyrud
IPC分类号： G06K9/62 , G06N3/08 , G06F16/51 , G06F16/583 , G06N3/04
摘要： Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.
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公开(公告)号：US20210207455A1
公开(公告)日：2021-07-08
申请号：US17150632
申请日：2021-01-15
申请人： OmniEarth, Inc.
发明人： David Murr , Shadrian Strong , Kristin Lavigne , Lars Dyrud , Jonathan Fentzke
IPC分类号： E21B43/00
摘要： Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.
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公开(公告)号：US10685408B2
公开(公告)日：2020-06-16
申请号：US14846747
申请日：2015-09-05
申请人： OmniEarth, Inc.
IPC分类号： G06F11/30 , G06Q50/02 , G06T7/00 , G01W1/10 , G06N5/02 , G06F16/29 , G06F16/583 , A01G15/00 , G06K9/00 , A01B79/00 , G06N20/00
摘要： A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.
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公开(公告)号：US20240028623A1
公开(公告)日：2024-01-25
申请号：US18480811
申请日：2023-10-04
申请人： OmniEarth, Inc.
发明人： Shadrian Strong , Lars Dyrud , David Murr
CPC分类号： G06F16/29 , G06Q50/16 , G06N3/02 , G06F16/5838 , G06F16/5862 , G06N3/04 , G06V20/176
摘要： A process for locating real estate parcels for a user comprises accessing a library of parceled real estate image data to identify objects and features in a plurality of parcels identified by the user as having a feature of interest. A predictive model is constructed and applied to a geographic region selected by the user to generate a customized output of real estate parcels predicted to have the feature of interest, or, in some implementations, not to have the feature of interest.
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公开(公告)号：US20200380617A1
公开(公告)日：2020-12-03
申请号：US16900087
申请日：2020-06-12
申请人： OmniEarth, Inc.
IPC分类号： G06Q50/02 , G06T7/00 , G01W1/10 , G06N5/02 , G06F16/29 , G06F16/583 , A01G15/00 , G06K9/00 , A01B79/00
摘要： A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.
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公开(公告)号：US10733229B2
公开(公告)日：2020-08-04
申请号：US16377843
申请日：2019-04-08
申请人： OmniEarth, Inc.
发明人： Jonathan Fentzke , Shadrian Strong , David Murr , Lars Dyrud
摘要： Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.
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公开(公告)号：US20190236097A1
公开(公告)日：2019-08-01
申请号：US16377843
申请日：2019-04-08
申请人： OmniEarth, Inc.
发明人： Jonathan Fentzke , Shadrian Strong , David Murr , Lars Dyrud
CPC分类号： G06F16/5838 , G06F16/29 , G06F16/51 , G06F16/5866 , G06K9/00637 , G06K9/00651 , G06K9/00657 , G06K9/4652 , G06K9/628
摘要： Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.
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公开(公告)号：US20180293671A1
公开(公告)日：2018-10-11
申请号：US14846747
申请日：2015-09-05
申请人： OmniEarth, Inc.
摘要： A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.
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9.发明授权公开(公告)号：US11734560B2
公开(公告)日：2023-08-22
申请号：US17193651
申请日：2021-03-05
申请人： OmniEarth, Inc.
发明人： Shadrian Strong , David Murr , Lars P. Dyrud
IPC分类号： G06N3/08 , G06F16/51 , G06F16/583 , G06F18/21 , G06F18/24 , G06F18/2413 , G06N3/045 , G06V30/19 , G06V30/24 , G06V10/82 , G06V20/10
CPC分类号： G06N3/08 , G06F16/51 , G06F16/5854 , G06F18/217 , G06F18/24 , G06F18/24143 , G06N3/045 , G06V10/82 , G06V20/176 , G06V30/19173 , G06V30/2504
摘要： Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.
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公开(公告)号：US11572768B2
公开(公告)日：2023-02-07
申请号：US17150632
申请日：2021-01-15
申请人： OmniEarth, Inc.
发明人： David Murr , Shadrian Strong , Kristin Lavigne , Lars Dyrud , Jonathan Fentzke
IPC分类号： E21B43/00
摘要： Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.
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