This article provides an overview of building extraction approaches applied to Airborne
Laser Scanning (ALS) data by examining elements used in original publications, such as …

In this paper, two main approaches for automatic building detection and localization using
high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding …

Detecting buildings in remotely sensed data plays an important role for urban analysis and
geographical information systems. This study proposes a hierarchical approach for …

In the past two decades Object-Based Image Analysis (OBIA) established itself as an
efficient approach for the classification and extraction of information from remote sensing …

The aim of this paper is to highlight how the employment of Light Detection and Ranging
(LiDAR) technique can enhance greatly the performance and reliability of many monitoring …

The cellular industry faces challenges in controlling the quality of signals for all users, given
its meteoric growth in the last few years. The service providers are required to place cellular …

Obtaining information on the distribution of rural landscape types is an active research topic
within Spanish rural studies. This paper presents a new hierarchical object‐based …

This paper proposes a big-data approach to automatically identify and extract buildings from
a digital surface model created from aerial laser scanning data. The approach consists of …

Detecting changes in buildings over time is an important issue in monitoring urban areas,
landscape changes, assessing natural disaster risks or updating geospatial databases …

This paper proposes an automatic approach for building extraction in suburban and rural
areas by integrating the light detection and ranging (LIDAR) data and WorldView imagery …