In machine learning, a generative model is responsible for generating new samples of data
in terms of a probabilistic model. Generative adversarial network (GAN) has been widely …

This article presents a neural network-based solution to recover pixels occluded by clouds in
satellite images. We leverage radio frequency (RF) signals in the ultrahigh-/superhigh …

The paper outlines a pipeline for the removal of transient objects from orthophotos to
enhance the clarity and utility for orthophotos in military and civilian geo-databases …

Building facade completion is an important part of digitizing the structures of buildings using
computer technology. Due to the intricate textures and structures in building facade images …

Object removal refers to the process of erasing designated objects from an image while
preserving the overall appearance. The performance of an object remover is quantitatively …

Many municipalities provide textured 3D city models for planning and simulation purposes.
Usually, the textures are automatically taken from oblique aerial images. In these images …

Medical images are essential in Computer Aided Diagnosis (CAD) systems. Based on the
patient's medical visual data, an automatic CAD system is required for disease …

This paper discusses a rapid workflow for the automated generation of geospecific terrain
databases for military simulation environments. Starting from photogrammetric data products …