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DEVELOPMENT OF SPATIAL SCALING TECHNIQUE OF FOREST HEALTH SAMPLE POINT INFORMATION
Forest Forest management Forest Health Species diversity Shannon’s index Spatial interpolation Kriging IDW
2018/5/14
Forests provide many goods, Ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors ...
STUDY ON BIG DATABASE CONSTRUCTION AND ITS APPLICATION OF SAMPLE DATA COLLECTED IN CHINA'S FIRST NATIONAL GEOGRAPHIC CONDITIONS CENSUS BASED ON REMOTE SENSING IMAGES
National Geographic Conditions Census Sample Data Big Data Database Distributed File System
2018/5/11
In the project of China's First National Geographic Conditions Census, millions of sample data have been collected all over the country for interpreting land cover based on remote sensing images, the ...
AUTOMATIC CLASSIFICATION METHODS OF HIGH-RESOLUTION SATELLITE IMAGES:THE PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE SAMPLE TRAINING SET
Remote Sensing IKONOS Classification Land Cover Processing Georeferencing
2015/12/31
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
A Multi-temporal Image Registration Method Based on Edge Matching and Maximum Likelihood Estimation Sample Consensus
Change Detection Remote Sensing Registration Edge Matching
2015/12/8
In the paper, we propose a newly registration method for multi-temporal image registration. Multi-temporal image registration has two difficulties: one is how to design matching strategy to gain enoug...
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Rule based learning hybrid learning virtual sample virtual example
2015/7/22
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been shown to perform bett...
Measuring the Sensitivity of Parameter Estimates to Sample Statistics
Sample Statistics Sample Statistics
2015/7/17
Empirical papers in economics often describe heuristically how their estimates depend on intuitive features of the data. We propose two quantitative measures of this relationship that can
be computed...
Aerodynamic Shape Optimization Part II:Sample Applications
Aerodynamic Shape Optimization Sample Applications
2015/7/2
This is the second of two lectures prepared by the authors for the von Karman Institute that deal with the subject of aerodynamic shape optimization.
GOOD SAMPLE CONSENSUS ESTIMATION OF 2D-HOMOGRAPHIES FOR VEHICLE MOVEMENT DETECTION FROM THERMAL VIDEOS
Infrared surveillance Machine vision Object recognition
2015/5/18
In this contribution we describe a method to assess the activity of vehicles based on airborne image sequences taken by an infrared
camera. Active vehicles often appear as a configuration of a dark a...
COMBINING REMOTE SENSING DATA SOURCES AND TERRESTRIAL SAMPLE-BASED INVENTORY DATA FOR THE USE IN FOREST MANAGEMENT INVENTORIES
Forestry Sample Inventory Stratification Data Fusion Photogrammetrie Landsat TM
2015/2/3
This paper presents two elements of a study on forest inventory and mapping in the context of forest management with a test site in the state Nordrhein-Westfalen, Germany. The first section concerns t...
Automatic Training Sample Selection for a Multi-Evidence Based Crop Classification Approach
Crop Classification Training Vector Neural Satellite Imagery Learning
2014/9/29
An approach to use the available agricultural parcel information to automatically select training samples for crop classification is investigated. Previous research addressed the multi-evidence crop c...
The Effects of Sample Matrices on Immunoassays to Detect Microcystin-LR in Water
Microcystin Immunoassay Sample Matrix Natural Organic Matter
2013/3/12
Immunoassays are widely used biochemical techniques to detect microcystins in environmental samples. The use of immunoassays for the detection of microcystins is vulnerable to matrix components and ot...
Sensitivity analysis using contribution to sample variance plot: Application to a water hammer model
Sensitivity analysis Contribution to sample variance plot Variance reduction Water hammer RELAP model Ishigami function
2012/4/22
ontribution to sample variance plot? a natural extension of the ontribution to the sample mean plot? which is a graphical tool for global sensitivity analysis originally proposed by Sinclair. These gr...
Adaptive Discriminant Analysis for face recognition from Single Sample per Person
Adaptive Discriminant Single Sample
2013/7/24
Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition from Single Sample per...
Effect of Sample Pre-enrichment and Characters of Food Samples on the Examination for the Salmonella by Plate Count Method and Fluorescent in-situ Hybridization Technique
Sample Pre-enrichment Food Samples
2016/6/1
In most of the novel and traditional methods used in the examination of food samples for Salmonella, pre-enrichment of samples is used as a means of increasing the sensitivity and reliability. However...
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Adaptive Generic Face Recognition Single Sample per Person
2010/12/21
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the
database. In this case, m...