公开(公告)号：US11257185B2

公开(公告)日：2022-02-22

申请号：US16704892

申请日：2019-12-05

申请人： Maxar International Sweden AB

发明人： Leif Haglund ,  Gustav Tapper ,  Anna Birgersson ,  Klara Hellgren

IPC分类号： G06T3/40 ,  G06N3/08

摘要： A method for resolution enhancement of images is described comprising the steps of providing (101) at least a first two dimensional (2D) test image, providing (102) a high-resolution 3D map, providing (103) a Machine Learning Network (MLN), extracting (104), from the high-resolution 3D map, a 2D submap, comprising geocoded 2D coordinate data and texture information, extracting (105) a 2D subimage from the 2D test image, which 2D subimage is an image of the same area as the 2D submap, and training the MLN, using the high-resolution 2D submap and the 2D subimage.

公开(公告)号：US11164338B2

公开(公告)日：2021-11-02

申请号：US16690762

申请日：2019-11-21

申请人： Maxar International Sweden AB

发明人： Leif Haglund ,  Thomas Beckman

IPC分类号： G06T7/90 ,  G06F16/29 ,  G05D1/08 ,  G06T7/00 ,  G06T7/40

摘要： The present disclosure relates to a method and system for navigation of an aerial vehicle. The method (100) comprises providing (110) a sensor image from an aerial vehicle sensor and repeatedly, until at least one predetermined criterion is reached, performing the steps: setting (120) input data comprising information related to pitch angle, roll angle, yaw angle and three-dimensional position of the aerial vehicle; providing (130) at least one two-dimensional perspective view image based on the input data, where the at least one two-dimensional perspective view image is obtained from a database comprising three-dimensional geo-referenced information of the environment, said three-dimensional geo-referenced information comprising texture data; and comparing (140) the sensor image and the at least one two-dimensional perspective view image.

公开(公告)号：US11600042B2

公开(公告)日：2023-03-07

申请号：US17410300

申请日：2021-08-24

申请人： Maxar International Sweden AB

发明人： Tim Yngesjö ,  Carl Sundelius ,  Anton Nordmark

IPC分类号： G06T17/05 ,  G06T7/55

摘要： The present disclosure relates to a method for 3D reconstruction from satellite imagery using deep learning, said method comprising providing (101) at least two overlapping 2D satellite images, providing (102) imaging device parameters for the at least two overlapping 2D satellite images, providing (103) at least one trained Machine Learning Network, MLN, able to predict depth maps, said trained MLN being trained on a training set comprising multi-view geocoded 3D ground truth data and predicting (104) a depth map of the at provided at least two 2D satellite images using the trained at least one MLN and based on the corresponding imaging device parameters.

公开(公告)号：US11335059B2

公开(公告)日：2022-05-17

申请号：US14762180

申请日：2013-01-21

申请人： Maxar International Sweden AB

发明人： Folke Isaksson ,  Johan Bejeryd ,  Per Carlbom ,  Johan Borg ,  Ingmar Andersson ,  Leif Haglund

IPC分类号： G06T17/05 ,  G06T17/20 ,  G01C11/06 ,  G06T7/44 ,  G06T3/40 ,  G06T19/20 ,  G01C11/02

摘要： The present invention relates to a method and an arrangement for providing a 3D model of an environment. The method comprises the step of forming a mesh modelling the environment in three dimensions, said mesh comprising nodes interconnected by edges and having surfaces boarded by the edges, wherein each node is associated to a 3D coordinate in a geographical coordinate system, determining for a plurality of the nodes and/or surfaces and/or edges in the mesh a mesh uncertainty and associating the determined mesh uncertainty to the corresponding node and/or surface and/or edge.