LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "als point" as a keyword



A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3158438

Abstract: Airborne laser scanning (ALS) point cloud segmentation is an essential procedure for 3D data understanding and applications. This task is challenging due to the unstructured, disordered, and sparse distribution of the point cloud. PointNet++ is… read more here.

Keywords: point cloud; cloud segmentation; network; als point ... See more keywords

A Crown Guess and Selection Framework for Individual Tree Detection From ALS Point Clouds

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3171771

Abstract: Individual tree detection from airborne laser scanning (ALS) point clouds is the basis for forestry inventory and further applications. In the past decade, many methods have been developed to localize tree instances in ALS point… read more here.

Keywords: point clouds; als point; tree detection; framework ... See more keywords

Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3182030

Abstract: Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challenging. This might be due to the lack of… read more here.

Keywords: point clouds; als point; terrain models; digital terrain ... See more keywords

Bidirectional Feature Aggregation and Adaptive Fusion Network for ALS Point Cloud Semantic Segmentation

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3532795

Abstract: Significant progress has been achieved using deep learning technology for the semantic segmentation of airborne laser scanning (ALS) point clouds. However, there are still challenges in effectively capturing contextual information and fusing network multilevel features… read more here.

Keywords: bidirectional feature; feature aggregation; segmentation; adaptive fusion ... See more keywords

Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3087159

Abstract: Building region extraction from ALS point clouds has been widely studied, whereas instance-level building mapping has been overlooked and remains unsolved. In this study, we present a method to extract individual buildings from ALS point… read more here.

Keywords: point clouds; als point; instance mapping; instance ... See more keywords

Local and Global Structure for Urban ALS Point Cloud Semantic Segmentation with Ground-Aware Attention

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3158362

Abstract: Interpretation of airborne laser scanning (ALS) point clouds plays a notably role in geo-information production. As a critical step for interpretation, accurate semantic segmentation can considerably broaden various applications of ALS data. However, most existing… read more here.

Keywords: als point; ground aware; segmentation; aware attention ... See more keywords

HSCN: Semi-Supervised ALS Point Cloud Semantic Segmentation via Hybrid Structure Constraint Network

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3484681

Abstract: Semi-supervised learning (SSL) plays a crucial role in airborne laser scanning (ALS) point cloud semantic segmentation to reduce the cost of sample labeling. However, the prevailing semi-supervised approaches mainly focus on local and global feature… read more here.

Keywords: structure; semantic segmentation; als point; semi supervised ... See more keywords

TG-ADet: Terrain-Guided Network for 3-D Object Detection in ALS Point Clouds

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3589277

Abstract: Airborne laser scanning (ALS) offers significant potential for 3-D object detection due to its ability to penetrate the canopy and acquire high-precision 3-D spatial information. However, complex terrain distribution and backgrounds similar to objects hinder… read more here.

Keywords: detection; terrain; object detection; point clouds ... See more keywords