How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.109
Abstract: Plant invasions can result in serious threats for biodiversity and ecosystem functioning. Reliable maps at very-high spatial resolution are needed to assess invasions dynamics. Field sampling approaches could be replaced by unmanned aerial vehicles (UAVs)… read more here.
Keywords: high spatial; remote sensing; spatial resolution; species classification ... See more keywords
An analysis of timber sections and deep learning for wood species classification
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09212-x
Abstract: The wood species classification is an essential field of investigation that can help to combat illegal logging, then providing the timber certification and allowing the application of correct timber taxing. Today, the wood classification relies… read more here.
Keywords: classification; wood species; species classification; timber sections ... See more keywords
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.08.001
Abstract: Abstract Determining tree species composition in natural forests is essential for effective forest management. Species classification at the individual tree level requires fine-scale traits which can be derived through terrestrial laser scanning (TLS) point clouds.… read more here.
Keywords: machine; wood filtering; deep learning; species classification ... See more keywords
Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3048372
Abstract: Among different forest inventory problems, one of the most basic is defining dominant species. These data are crucial in forest management to determine forest category, and a cheaper remote sensing-based approach would be a useful… read more here.
Keywords: approach; multispectral satellite; species classification; satellite imagery ... See more keywords
Species Classification of Automatically Delineated Regenerating Conifer Crowns Using RGB and Near-Infrared UAV Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3123552
Abstract: Unmanned aerial vehicles (UAVs) and deep learning are important tools at the forefront of automated forest monitoring research, where classification of individual tree species is a critical forest management goal. Near-infrared (NIR) information provided by… read more here.
Keywords: classification automatically; rgb; near infrared; automatically delineated ... See more keywords
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3181680
Abstract: This letter proposes a novel method based on Deep Learning (DL) to forest species classification in airborne Light Detection and Ranging (LiDAR) data. Differently from the state-of-the-art approaches, the proposed method: 1) does not assume… read more here.
Keywords: tree species; lidar data; deep learning; based deep ... See more keywords
DeepBarcoding: Deep Learning for Species Classification using DNA Barcoding.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3056570
Abstract: DNA barcodes with short sequence fragments are used for species identification. Because of advances in sequencing technologies, DNA barcodes have gradually been emphasized. DNA sequences from different organisms are easily and rapidly acquired. Therefore, DNA… read more here.
Keywords: dna; classification using; species classification; sequence ... See more keywords
An Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2656152
Abstract: The knowledge of the tree species is a crucial information that governs the success of precision forest management practice. High-density small footprint multireturn airborne light detection and ranging (LiDAR) scanning can collect a huge amount… read more here.
Keywords: high density; lidar data; conifer species; species classification ... See more keywords
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3012343
Abstract: Crown features derived from high-density airborne laser scanning (ALS) data have proven to be effective for forest species classification at the individual tree level. Most of the general state-of-the-art (SoA) techniques rely on coarse-level crown… read more here.
Keywords: high density; quantization; species classification; density airborne ... See more keywords
Data augmentation in prototypical networks for forest tree species classification using airborne hyperspectral images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3168054
Abstract: Accurate and fine multiple tree species supervised classification based on few-shot learning has attracted close attention from researchers since the sample collection is often hindered in forests. Prototypical networks (P-Net), as a simple but efficient… read more here.
Keywords: classification; data augmentation; tree species; prototypical networks ... See more keywords
Species classification and novel plasmid identifications in Arcobacter cryaerophilus and Arcobacter cryaerophilus-like organisms
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2022.984450
Abstract: The Arcobacter is a globally emerging foodborne and zoonotic pathogen that can cause diarrhea in humans. It is relatively homogenous and clearly distinguishes the group from other Epsilonproteobacteria. Arcobacter cryaerophilus (A. cryaerophilus) is a heterogeneous… read more here.
Keywords: cryaerophilus; arcobacter cryaerophilus; cryaerophilus like; species classification ... See more keywords