Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …

Digital terrain model (DTM) generation is the fundamental application of airborne Lidar data.
In past decades, a large body of studies has been conducted to present and experiment a …

The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Mountain areas in the southern western corner of the Kingdom of Saudi Arabia frequently
suffer from various types of landslides due to rain storms and anthropogenic activities. To …

Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML
techniques unlock the potential of IoT with intelligence, and IoT applications increasingly …

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …

Landslide map** is indispensable for efficient land use management and planning.
Landslide inventory maps must be produced for various purposes, such as to record the …

This paper reports on a building detection approach based on deep learning (DL) using the
fusion of Light Detection and Ranging (LiDAR) data and orthophotos. The proposed method …

There has been growing demand for 3D modeling from earth observations, especially for
purposes of urban and regional planning and management. The results of 3D observations …

In this letter, a novel classification via information aggregation through Dempster-Shafer's
(DS) evidence theory has been presented to target recognition in a SAR image. Although …