Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

In recent years, building change detection has made remarkable progress through using
deep learning. The core problems of this technique are the need for additional data (eg …

In the context of rapid urbanization, monitoring the evolution of cities is crucial. To do so, 3D
change detection and characterization is of capital importance since, unlike 2D images, 3D …

Change detection is a key problem for many remote sensing applications. In this paper, we
present a novel unsupervised method for change detection between two high-resolution …

Building detection using airborne Light Detection And Ranging (LiDAR) data is the essential
prerequisite of many applications, including three-dimensional city modeling. In the paper …

Change detection methods for measuring deformation of the LNG storage tank's exterior
wall cannot meet the requirements for extensive and comprehensive deformation analysis …

The traditional procedure for the building change detection is subjective to user's knowledge
of the involved data. The complexity increases further due to unavailability of a public data …

Spatio-temporal urban monitoring in large-scale is critical in various engineering
applications. Periodical building change detection is necessary for applications such as …

The integration of Airborne LiDAR data and aerial imagery is useful in data interpretation,
land monitoring, and 3D reconstruction. As the first step of these tasks, the geometric …

Данная работа посвящена вопросу сопоставления выделенных областей на разных
аэрофотоснимках с заданным ориентированием. При этом в рамках статьи считается …