Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202207110
Abstract: Monitoring insects of different species to understand the factors affecting their diversity and decline is a major challenge. Laser remote sensing and spectroscopy offer promising novel solutions to this. Coherent scattering from thin wing membranes… read more here.
Keywords: hyperspectral lidar; flying insects; free flying; insects ... See more keywords
Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2017.1335902
Abstract: ABSTRACT Hyperspectral images comprise hundreds of narrow contiguous wavelength bands which include wealth spectral information, and a great potential of Light detection and ranging (LIDAR) data lies in its benefits of height measurements, which can… read more here.
Keywords: hyperspectral lidar; lidar; classification hyperspectral; feature fusion ... See more keywords
Hyperspectral and LiDAR Classification With Semisupervised Graph Fusion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2928009
Abstract: To fuse hyperspectral and Light Detection And Ranging (LiDAR), we propose a semisupervised graph fusion (SSGF) approach. We apply morphological filters to LiDAR and the first few components of hyperspectral data to model the height… read more here.
Keywords: semisupervised graph; lidar; fusion; hyperspectral lidar ... See more keywords
Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3162964
Abstract: In this study, we develop a novel deep hierarchical vision transformer (DHViT) architecture for hyperspectral and light detection and ranging (LiDAR) data joint classification. Current classification methods have limitations in heterogeneous feature representation and information… read more here.
Keywords: hyperspectral lidar; classification; deep hierarchical; lidar data ... See more keywords
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ"
DOI: 10.7717/peerj.11790
Abstract: Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with… read more here.
Keywords: hyperspectral lidar; classification; plant; remote sensing ... See more keywords