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Rosin modified aminated mesoporous silica adsorbed tea tree oil sustained-release system for improve synergistic antibacterial and long-term antibacterial effects
TTO antibacterial evaluation mesoporous silica rosin sustained release
2023/12/5
Tea tree oil, a natural antibacterial compound, cannot be used effectively because of its volatile nature. In this work, a biocompatible carrier was prepared and loaded with tea tree essential oil. Th...
上海财经大学信息管理与工程学院数据挖掘课件 Decision Tree Classifiers
上海财经大学 信息管理与工程学院 数据挖掘 课件 Decision Tree Classifiers
2019/7/24
上海财经大学信息管理与工程学院数据挖掘课件 Decision Tree Classifiers。
TREE CANOPY HEIGHT ESTIMATION USING MULTI BASELINE RVOG INVERSION TECHNIQUE
PolInSAR Tree Canopy Height Random Volume over Ground UAVSAR AfriSAR coherence
2019/2/28
Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) technique utilizes the characteristics of both SAR polarimetry and Interferometry. PolInSAR technique is proved to be very useful for v...
UNMANNED AERIAL VEHICLE (UAV) SURVEY-ASSISTED 3D MANGROVE TREE MODELING
Mangroves 3D Visualization 3D Modeling Unmanned Aerial Vehicle Assistive Modeling
2018/11/8
3D visualization is a tool that supports geospatial analysis through the application of scientific information. It enhances the quality of standard photography and can be used in many applications. Th...
INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA
Tree Crown Identification and Delineation Canopy Height Model Lidar Point Cloud Camera Model
2018/11/9
3D tree database provides essential information of tree species abundance, spatial distribution and tree height for forest mapping, sustainable urban planning and 3D city modelling. Fusion of passive ...
A GROSS ERROR ELIMINATION METHOD FOR POINT CLOUD DATA BASED ON KD-TREE
Data point cloud Gross error elimination Kd-tree
2018/5/14
Point cloud data has been one type of widely used data sources in the field of remote sensing. Key steps of point cloud data’s pro-processing focus on gross error elimination and quality control. Owin...
CROWN-LEVEL TREE SPECIES CLASSIFICATION USING INTEGRATED AIRBORNE HYPERSPECTRAL AND LIDAR REMOTE SENSING DATA
Tree species classification Crown-scale spectral Crown-scale structure LiDAR Hyperspectral
2018/5/17
Mapping tree species is essential for sustainable planning as well as to improve our understanding of the role of different trees as different ecological service. However, crown-level tree species aut...
AN ISOMETRIC MAPPING BASED CO-LOCATION DECISION TREE ALGORITHM
Decision tree (DT) Co-location (Cl) Data mining Isometric mapping (Isomap) Geodetic distances Algorithm
2018/5/17
Decision tree (DT) induction has been widely used in different pattern classification. However, most traditional DTs have the disadvantage that they consider only non-spatial attributes (ie, spectral ...
VALIDATING A WORKFLOW FOR TREE INVENTORY UPDATING WITH 3D POINT CLOUDS OBTAINED BY MOBILE LASER SCANNING
Tree inventory Mobile Laser Scanning Point Cloud Data Tree classification
2018/6/5
Urban trees are an important component of our environment and ecosystem. Trees are able to combat climate change, clean the air and cool the streets and city. Tree inventory and monitoring are of grea...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides Prediction Two-step cluster Classification and regression tree (CART) White box model
2018/4/18
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides, Prediction, Two-step cluster, Classification and regression tree (CART), White box model
2018/5/8
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
APPLICATION OF A PATTERN RECOGNITION ALGORITHM FOR SINGLE TREE DETECTION FROM LiDAR DATA
LiDAR vegetation forestry single-tree detection geomorphon biomass forest inventory JGrassTools
2017/8/10
In the present study, we applied the Particle Swarming Optimization (PSO) procedure to parametrize two Local Maxima (LM) algorithms and a pattern recognition model based on raster and point-cloud data...
FROM TLS POINT CLOUDS TO 3D MODELS OF TREES: A COMPARISON OF EXISTING ALGORITHMS FOR 3D TREE RECONSTRUCTION
Trees Terrestrial Laser Scanner Point Cloud 3D Model Reconstruction Algorithm Assessment Accuracy
2017/4/5
3D models of tree geometry are important for numerous studies, such as for urban planning or agricultural studies. In climatology, tree models can be necessary for simulating the cooling effect of tre...
NEW APPROACH FOR SEGMENTATION AND EXTRACTION OF SINGLE TREE FROM POINT CLOUDS DATA AND AERIAL IMAGES
Segmentation Boundary Lines 3D Model Biomass Single Tree
2016/12/1
This paper addresses a new approach for reconstructing a 3D model from single trees via Airborne Laser Scanners (ALS) data and aerial images. The approach detects and extracts single tree from ALS dat...
CLASSIFICATION OF LISS IV IMAGERY USING DECISION TREE METHODS
Crop Vegetation Indices Texture Decision Tree Classification LISS IV
2016/12/1
Image classification is a compulsory step in any remote sensing research. Classification uses the spectral information represented by the digital numbers in one or more spectral bands and attempts to ...
