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中国地质大学科学技术发展院陈伟涛 等，计算机学院. Remote Sensing（2019）, Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery
地质环境；遥感；智能；解译；研究领域
2021/10/15
近日，中国地质大学计算机学院陈伟涛副教授团队再次在地质环境遥感智能解译研究领域取得重要进展。相关研究成果发表在国际著名期刊《Remote Sensing》（2018年影响因子为4.118）。论文第一作者为陈伟涛副教授，通讯作者为李显巨副教授。
IMAGE CLASSIFICATION FOR MAPPING OIL PALM DISTRIBUTION VIA SUPPORT VECTOR MACHINE USING SCIKIT-LEARN MODULE
Landsat oil palm Python remote sensing Scikit-learn support vector machine
2018/11/9
The world has been alarmed with the global warming effects. Global warming has been a distress towards the environment, thus shorten the Earth’s lifespan. It is a challenging task to reduce the global...
WATERBODIES EXTRACTION FROM LANDSAT8-OLI IMAGERY USING AWATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE
Water index CRF Landsa Water extraction SVM
2018/5/15
One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/5/16
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
LANDSLIDES IDENTIFICATION USING AIRBORNE LASER SCANNING DATA DERIVED TOPOGRAPHIC TERRAIN ATTRIBUTES AND SUPPORT VECTOR MACHINE CLASSIFICATION
Airborne laser scanning support vector machine landslide mapping Pricncipal Component Analysis
2016/11/30
Since the availability of high-resolution Airborne Laser Scanning (ALS) data, substantial progress in geomorphological research, especially in landslide analysis, has been carried out. First and secon...
CLOUD DETECTION OF OPTICAL SATELLITE IMAGES USING SUPPORT VECTOR MACHINE
Cloud Detection Classification Support Vector Machine
2016/11/23
Cloud covers are generally present in optical remote-sensing images, which limit the usage of acquired images and increase the difficulty of data analysis, such as image compositing, correction of atm...
THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN,SURIGAO DEL SUR,PHILIPPINES
Benthic habitat mapping Image processing CIELAB Color science OBIA SVM
2016/11/23
This study demonstrates the application of CIELAB, Color intensity, and One Dimensional Scalar Constancy as features for image recognition and classifying benthic habitats in an image with the coastal...
A GENETIC ALGORITHM BASED WRAPPER FEATURE SELECTION METHOD FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SUPPORT VECTOR MACHINE
Feature Selection Hyperspectral Genetic Algorithm Supported Vector Machine
2015/12/31
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
HADOOP-BASED DISTRIBUTED SYSTEM FOR ONLINE PREDICTION OF AIR POLLUTION BASED ON SUPPORT VECTOR MACHINE
Urban Air Pollution Online Prediction Big Data Spatial Analysis Distributed Computing Support Vector Machine
2016/1/15
The critical impact of air pollution on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techni...
Diagnosing Tuberculosis With a Novel Support Vector Machine-Based Artificial Immune Recognition System
Artificial Intelligence Classification Data Mining Support Vector Machines Expert Systems
2015/10/22
Background: Tuberculosis (TB) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. Diagnosis based on cultured specimens i...
The Entire Regularization Path for the Support Vector Machine
Entire Regularization Path Support Vector Machine
2015/8/21
In this paper we argue that the choice of the SVM cost parameter can be critical. We then derive an algorithm that can fit the entire path of SVM solutions for every value of the cost parameter, with ...
A SUPPORT VECTOR MACHINE APPROACH FOR OBJECT BASED IMAGE ANALYSIS
Remote Sensing Computational Intelligence Machine Learning Object Oriented Classification Multi-scale Segmentation
2015/8/19
The Support Vector Machine is a theoretically superior machine learning methodology with great results in classification of highdimensional datasets and has been found competitive with the best machin...
Empirical Prediction and Risk Assessment of Chicken Egg Prices in China Using Support Vector Machine Algorithm
Chicken Egg Prices China
2016/6/2
The study was aimed to predict and assess the prices and their corresponding fluctuations of chicken eggs in China with risk warning using Support Vector Machine (SVM) algorithm from the aspects of co...
AUTOMATIC GENERATION OF TRAINING DATA FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING SUPPORT VECTOR MACHINE
High resolution DSM Hyperspectral
2015/5/6
An image classification method based on Support Vector Machine (SVM) is proposed on hyperspectral and 3K DSM data. To obtain training data we applied an automatic method relating to four classes nam...
Mean field variational Bayesian inference for support vector machine classification
Approximate Bayesian inference variable selection missing data mixed model Markov chain Monte Carlo
2013/6/14
A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented. This representation allows circumvention of ma...