Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …

With the fast development of 3D data acquisition techniques, topographic point clouds have
become easier to acquire and have promoted many geospatial applications. Ground filtering …

The rapid development of light detection and ranging (Lidar) provides a promising way to
obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D …

Abstract Airborne Laser Scanning (ALS) point cloud classification is a critical task in remote
sensing and photogrammetry communities, which can be widely utilized in urban …

Using deep learning-based object detection algorithms for landslide hazards detection is
very popular and effective. However, most existing algorithms are designed for landslides in …

Although novel point cloud semantic segmentation schemes that continuously surpass state-
of-the-art results exist, the success of learning an effective model typically relies on the …

The capability of partially penetrating vegetation canopy and efficiently collecting high-
precision point clouds over large areas makes airborne laser scanning (ALS) a valuable tool …

With the arrival of new data acquisition platforms derived from the Internet of Things (IoT),
this paper goes beyond the understanding of traditional remote sensing technologies. Deep …

Point cloud classification plays a critical role in many applications of airborne light detection
and ranging (LiDAR) data. In this paper, we present a deep feature-based method for …

Optical Character Recognition (OCR) systems have been designed to operate on text
contained in scanned documents and images. They include text detection and character …