Abstract: A method for creating a texture from input images, thereby removing representations of objects from the texture, the method comprising performing semantic segmentation in a plurality of digital input images with a plurality of semantic classes, at least one of the semantic classes relating to a target object class; identifying, in at least a first input image, one or more possible instances of representations of objects belonging to the target object class, each possible instance being constituted by a plurality of contiguous instance pixels of the image pixels; determining whether the instance pixels are target pixels, target pixels being pixels constituting a representation of an object belonging to the target object class; and replacing target pixels in the texture with replacement pixels derived from one or more of the plurality of digital input images.

Abstract: A computer-implemented method for generating land-cover maps of an area, comprising: receiving a plurality of digital input images; performing semantic segmentation in the input images, segmenting each image individually and with a plurality of semantic classes, each semantic class being related to a land-cover class from a set of land-cover classes; identifying a set of single-image probability values of one or more of the semantic classes for at least a subset of the image pixels of the respective segmented image; generating a 3D mesh of the area based on the plurality of digital input images using a structure-from-motion algorithm; projecting the sets of single-image probability values on vertices of the 3D mesh; determining a set of overall probability values of one or more of the semantic classes.

Abstract: A method for creating a texture from input images, thereby removing representations of objects from the texture, the method comprising performing semantic segmentation in a plurality of digital input images with a plurality of semantic classes, at least one of the semantic classes relating to a target object class; identifying, in at least a first input image, one or more possible instances of representations of objects belonging to the target object class, each possible instance being constituted by a plurality of contiguous instance pixels of the image pixels; determining whether the instance pixels are target pixels, target pixels being pixels constituting a representation of an object belonging to the target object class; and replacing target pixels in the texture with replacement pixels derived from one or more of the plurality of digital input images.