Cargando…

Hyperspectral tree crown classification using the multiple instance adaptive cosine estimator

Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the Multiple Instance Adaptive Cosine Estimator (MI-ACE) algorithm. MI-ACE estimates a discrimin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zou, Sheng, Gader, Paul, Zare, Alina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2019
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397761/ https://www.ncbi.nlm.nih.gov/pubmed/30842896 http://dx.doi.org/10.7717/peerj.6405

Ejemplares similares

Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data
por: Dalponte, Michele, et al.
Publicado: (2019)

Effects of Stem Density on Crown Architecture of Scots Pine Trees
por: Saarinen, Ninni, et al.
Publicado: (2022)

Modeling tree crown dynamics with 3D partial differential equations
por: Beyer, Robert, et al.
Publicado: (2014)

Appearance quality classification method of Huangguan pear under complex background based on instance segmentation and semantic segmentation
por: Zhang, Yuhang, et al.
Publicado: (2022)

Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model
por: Liu, Keng-Hao, et al.
Publicado: (2022)

Estimation of amino acid contents in maize leaves based on hyperspectral imaging
por: Shu, Meiyan, et al.
Publicado: (2022)

Estimating the rice nitrogen nutrition index based on hyperspectral transform technology
por: Yu, Fenghua, et al.
Publicado: (2023)

Protein and lipid content estimation in soybeans using Raman hyperspectral imaging
por: Aulia, Rizkiana, et al.
Publicado: (2023)

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
por: Gutiérrez, Salvador, et al.
Publicado: (2018)

Hyperspectral detection of fresh corn peeling damage using germinating sparse classification method
por: Li, Zhenye, et al.
Publicado: (2022)

Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework
por: Sun, Chenxin, et al.
Publicado: (2022)

Recognition of spider mite infestations in jujube trees based on spectral-spatial clustering of hyperspectral images from UAVs
por: Wu, Yue, et al.
Publicado: (2023)

A reinterpretation of the gap fraction of tree crowns from the perspectives of computer graphics and porous media theory
por: Zhu, Yunfeng, et al.
Publicado: (2023)

Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery
por: Wu, Haoran, et al.
Publicado: (2022)

Hyperspectral Estimation Models of Winter Wheat Chlorophyll Content Under Elevated CO(2)
por: Cai, Yao, et al.
Publicado: (2021)

Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation
por: Xiang, Yun, et al.
Publicado: (2022)

Rapid and Non-destructive Classification of New and Aged Maize Seeds Using Hyperspectral Image and Chemometric Methods
por: Wang, Zheli, et al.
Publicado: (2022)

Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques
por: Chen, Haitao, et al.
Publicado: (2023)

Polar-Net: Green fruit instance segmentation in complex orchard environment
por: Jia, Weikuan, et al.
Publicado: (2022)

Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
por: He, Jiaoyang, et al.
Publicado: (2020)

Applications of a Hyperspectral Imaging System Used to Estimate Wheat Grain Protein: A Review
por: Ma, Junjie, et al.
Publicado: (2022)

Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms
por: Tuerxun, Nigela, et al.
Publicado: (2023)

Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds
por: Xu, Yanan, et al.
Publicado: (2022)

Research and Application of Several Key Techniques in Hyperspectral Image Preprocessing
por: Li, Yu-hang, et al.
Publicado: (2021)

Accelerating Adaptation of Forest Trees to Climate Change Using Individual Tree Response Functions
por: Poupon, Valérie, et al.
Publicado: (2021)

Detection of peanut seed vigor based on hyperspectral imaging and chemometrics
por: Zou, Zhiyong, et al.
Publicado: (2023)

Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages
por: Din, Mairaj, et al.
Publicado: (2017)

Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery
por: Wang, Feilong, et al.
Publicado: (2019)

Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods
por: Zhang, Mingzheng, et al.
Publicado: (2023)

Midday Depression vs. Midday Peak in Diurnal Light Interception: Contrasting Patterns at Crown and Leaf Scales in a Tropical Evergreen Tree
por: Ventre-Lespiaucq, Agustina, et al.
Publicado: (2018)

Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field
por: Shen, Lei, et al.
Publicado: (2022)

QTL mapping for seed morphology using the instance segmentation neural network in Lactuca spp
por: Seki, Kousuke, et al.
Publicado: (2022)

Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China
por: Zhong, Hao, et al.
Publicado: (2022)

A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves
por: Jung, Dae-Hyun, et al.
Publicado: (2022)

Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms
por: Fu, Peng, et al.
Publicado: (2019)

Hyperspectral Estimation of Canopy Leaf Biomass Phenotype per Ground Area Using a Continuous Wavelet Analysis in Wheat
por: Yao, Xia, et al.
Publicado: (2018)

The Detection Method of Potato Foliage Diseases in Complex Background Based on Instance Segmentation and Semantic Segmentation
por: Li, Xudong, et al.
Publicado: (2022)

Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning
por: Zhang, Weirong, et al.
Publicado: (2022)

Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
por: du Toit, Francois, et al.
Publicado: (2022)

Museomics Clarifies the Classification of Aloidendron (Asphodelaceae), the Iconic African Tree Aloes
por: Malakasi, Panagiota, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_6cp1r18n39p4jnoa60ac8mne8k