Systems and methods for sea state prediction and autonomous navigation in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a method of predicting a future sea state including generating a sequence of at least two 3D images of a sea surface using at least two image sensors, detecting peaks and troughs in the 3D images using a processor, identifying at least one wavefront in each 3D image based upon the detected peaks and troughs using the processor, characterizing at least one propagating wave based upon the propagation of wavefronts detected in the sequence of 3D images using the processor, and predicting a future sea state using at least one propagating wave characterizing the propagation of wavefronts in the sequence of 3D images using the processor. Another embodiment includes a method of autonomous vessel navigation based upon a predicted sea state and target location.

Systems and methods for sea state prediction and autonomous navigation in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a method of predicting a future sea state including generating a sequence of at least two 3D images of a sea surface using at least two image sensors, detecting peaks and troughs in the 3D images using a processor, identifying at least one wavefront in each 3D image based upon the detected peaks and troughs using the processor, characterizing at least one propagating wave based upon the propagation of wavefronts detected in the sequence of 3D images using the processor, and predicting a future sea state using at least one propagating wave characterizing the propagation of wavefronts in the sequence of 3D images using the processor. Another embodiment includes a method of autonomous vessel navigation based upon a predicted sea state and target location.

Methods, apparatus, and systems for automated reflector tuning include combining high precision automated photogrammetric measurement with high precision servo actuator positioning control of a reflector surface using custom optimizing control software to produce a novel, fully automated satellite reflector alignment tuning system. Precise adjustment to the shape of the reflecting surface of an antenna reflector (reflector tuning) can be essential for a satellite reflector antenna to meet electrical performance requirements, usually requiring a shape accurate to within 0.004 inches RMS. The automated reflector tuning may include determining a set of characterization coefficients by precisely measuring the response of the reflector shape to actuator movements, and using the characterization coefficients in a mathematical analysis to determine optimal actuator movements to achieve a required shape of the reflector surface.

Methods, apparatus, and systems for automated reflector tuning include combining high precision automated photogrammetric measurement with high precision servo actuator positioning control of a reflector surface using custom optimizing control software to produce a novel, fully automated satellite reflector alignment tuning system. Precise adjustment to the shape of the reflecting surface of an antenna reflector (reflector tuning) can be essential for a satellite reflector antenna to meet electrical performance requirements, usually requiring a shape accurate to within 0.004 inches RMS. The automated reflector tuning may include determining a set of characterization coefficients by precisely measuring the response of the reflector shape to actuator movements, and using the characterization coefficients in a mathematical analysis to determine optimal actuator movements to achieve a required shape of the reflector surface.

A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.

A method including: recording a first image of a first field region; automatically treating a plant within the first region in-situ based on the first image; automatically verifying the plant treatment with a second image of the first region; and automatically treating a second region concurrently with treatment verification.

A system and method can generate an agricultural projection associated with a land area of interest. A computing element receives grower data associated with the land area of interest from at least one of an information gathering component and a source. The computing element generates a grower profile for the land area of interest based on the received grower data associated with the land area of interest. The computing element generates an agricultural projection for the land area of interest based on grower profile associated with the land area of interest. The computing element transmits the agricultural projection over a network.

Embodiments of the present invention disclose a building height calculation method, device, and storage medium. The method includes: acquiring an original picture including an image of a building; projecting the original picture to a surface of a preset sphere to form a projected picture; performing an edge detection on the image of the building in the projected picture to acquire a pixel height of the building; determining a projection angle of the projection on the preset sphere based on the pixel height of the building; and determining a height of the building based on the projection angle and a distance between the building and a capturing position of the original picture. In the embodiments of the present invention, a projection angle of a building is determined based on an original picture including an image of the building, and the height of the building is determined based on the projection angle and a distance between the building and a capturing position of the original picture. Hence, the height of the building can be obtained automatically and quickly based on the picture without manual involvements, thus reducing the cost of acquisition while improving the acquisition efficiency.

Methods, systems and apparatus, including computer programs encoded on computer storage media for determining a center location of a ground control point used in aerial surveys. Machine learning models are used to identify in digital images pixel coordinates of the ground control point identified in the digital images. These image pixel coordinates are used in photogrammetric processing and software.

Method for visually representing scanning data, which are composed of a multiplicity of individual measurement data. The individual measurement data in each case have at least one measurement value that is linked to a respective measurement direction, wherein the measurement directions are different from one another such that a predetermined scanning region with a predetermined scanning resolution is covered. The representation of the scanning data is effected by way of an image map with a number of map points that is dependent on a predetermined display resolution and by way of an assignment rule for assigning measurement value to map point, wherein the assignment is effected immediately on the basis of the respective measurement direction that is linked to the measurement value.