A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation
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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 & getrecommendations! 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 & getrecommendations! 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
Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps
Sign Up to like & getrecommendations! 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
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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