Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.

Abstract: Systems and methods are disclosed for utilizing digital aerial images to determine stockpile volumes. In particular, in one or more embodiments, the disclosed systems and methods utilize a UAV to capture a plurality of digital aerial images portraying stockpiles on a site. The disclosed systems and methods can generate a two-dimensional representation of the site and a three-dimensional representation of the site based on the plurality of digital aerial images. Moreover, the disclosed systems and methods can apply an elevation filter to the three-dimensional representation of the site to identify potential stockpiles. Further, the disclosed systems and methods can utilize a neural network to analyze two-dimensional features and three-dimensional features of the potential stockpiles to identify final stockpiles. The disclosed systems and methods can then utilize three-dimensional stockpile representations to determine stockpile volumes.

Abstract: Systems and methods are disclosed for utilizing digital aerial images to determine stockpile volumes. In particular, in one or more embodiments, the disclosed systems and methods utilize a UAV to capture a plurality of digital aerial images portraying stockpiles on a site. The disclosed systems and methods can generate a two-dimensional representation of the site and a three-dimensional representation of the site based on the plurality of digital aerial images. Moreover, the disclosed systems and methods can apply an elevation filter to the three-dimensional representation of the site to identify potential stockpiles. Further, the disclosed systems and methods can utilize a neural network to analyze two-dimensional features and three-dimensional features of the potential stockpiles to identify final stockpiles. The disclosed systems and methods can then utilize three-dimensional stockpile representations to determine stockpile volumes.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.