The invention relates to a method for georeferencing remote sensing data of a remote sensing platform. According to the invention, a remote sensing dataset is received by the received sensing platform, which maps a visual range of the ground surface, and a georeferencing of the remote sensing dataset is determined using a reference dataset with known georeferencing.

A system for the remote care of an item of vegetation used as a potential source of food for an animal, to include at least one of a proximity tag, RFID tag, transponder device, a predetermined machine-readable pattern, and geo-location device associated with the item of vegetation, and an aerial drone. The aerial drone includes a microprocessor, a sensor coupled to the microprocessor and configured to detect the at least one of the proximity tag, RFID tag, transponder device, predetermined machine-readable pattern, and the geo-location device, and a carrier configured to carry a substance comprising at least one of a solid, gas, and liquid. The aerial drone is configured to act in response to instructions issued by the microprocessor.

A soil modeling and mapping framework for use in precision agriculture analyzes remotely-sensed data pertaining to characteristics of one or more agricultural fields, and determines optimal sampling locations from information in remotely-sensed information, terrain derivatives and satellite imagery, to develop a customized sampling design for modeling soil properties in such agricultural fields that optimized for the particular landscape in such fields. The soil modeling and mapping framework then analyzes soil samples collected based on the customized sampling design in machine learning-based models that predict soil properties in sampled, semi-sampled, and unsampled target fields. The predicted soil properties are used to develop highly-accurate maps of soil properties such as fertility maps, which may further be used for defining and creating one or more management zones with recommendations for applying the right amount of nutrients at variable rates in the correct areas.

A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

An approach is provided for confirming road vector geometry based on aerial image(s). For example, the approach involves retrieving a feature and a vector representation of a road link. The approach also involves processing one or more aerial images depicting the road link to extract a list of spectral pixel values corresponding to the vector representation. The approach further involves determining a degree of misalignment between the spectral pixel values and a spectral signature of the feature of the road link. The approach further involves initiating a confirmation of a geometry of the vector representation based on the degree of misalignment. The approach further involves providing the confirmation as an output.

A method of map generation includes receiving data from a plurality of vehicles about environments within which the plurality of vehicles operate, and generating a three-dimensional map using the data from the plurality of vehicles. The data is collected by one or more sensors on-board the plurality of vehicles.

A mapping system for multiview video displays presents an interactive map comprising a plurality of regularly distributed grid points indicating availability of multiview display data at those grid points. When selected, each of the grid points present a plurality of videos, images, and other data collected that are available for display.

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid.

An approach is provided for automatically coding cartographic feature(s), e.g., human settlement(s). The approach involves receiving data point(s) associated with point location(s) and indicative of a cartographic feature. The approach also involves retrieving or generating a cartographic feature polygon corresponding to the cartographic feature based on the data point(s). The approach further involves generating a plurality of polygon data points that replicate the cartographic feature polygon, and/or a spider web model that represents the point location(s). The approach further involves retrieving imagery data depicting the cartographic feature based on the plurality of polygon data points and/or the spider web model. The approach further involves merging the data point(s), the plurality of polygon data points, and/or the imagery data to generate new or updated polygon structure data point(s) to represent the cartographic feature. The approach further involves storing the new or updated polygon structure data point(s) in a map database.

The present disclosure provides a stitching quality evaluation method and system, and a redundancy reduction method and system for low-altitude UAV remote sensing images, and belongs to the technical field of image processing. The method comprises: firstly acquiring ground images using a UAV under a preset overlap degree to obtain a low-altitude UAV remote sensing image set, then stitching the low-altitude UAV remote sensing image set to obtain a stitched image, and finally performing a quality evaluation on the stitched image using an improved BRISQUE algorithm to obtain an image quality score, which is applicable to quality evaluation of visible images and multispectral images at the same time through the improved BRISQUE algorithm. In addition, the present disclosure further provides an image redundancy reduction method based on the improved BRISQUE algorithm, thereby improving the image stitching efficiency and stitching quality.