搜索结果: 1-15 共查到“工学 Support Vector Machine”相关记录23条 . 查询时间(0.322 秒)
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
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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
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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...
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
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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
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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
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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
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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
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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
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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...
A SUPPORT VECTOR MACHINE APPROACH FOR OBJECT BASED IMAGE ANALYSIS
Remote Sensing Computational Intelligence Machine Learning Object Oriented Classification Multi-scale Segmentation
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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
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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
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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...
HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE
PolSAR Classification Feature Selection GA SVM
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2014/4/24
This paper focuses on backscattering mechanisms selection and supervised classification works for CETC38-X PolSAR image.
Thanks to the high radar resolution, many classes of man-made objects are vis...
Comparison of support vector machine and object based classification methods for coastline detection
Coastline detection object-based classification (OBC) support vector machine (SVM)
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2014/4/22
Detection of coastline is an important procedure for management of coastal zones. According to the International Geographic Data Committee (IGDC), coastlines are one of the most important environmenta...
SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY
object-based classification Landsat crop artificial_intelligence/SVM multitemporal
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2014/4/29
Crop mapping and time series analysis of agronomic cycles are critical for monitoring land use and land management practices, and analysing the issues of agro-environmental impacts and climate change....
Fisher’s linear discriminant (FLD) and support vector machine (SVM) in non-negative matrix factorization (NMF) residual space for face recognition
face recognition Fisher linear discriminant non-negative matrix factorization residual image
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2011/5/9
A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for
the representation of face images for face recognition, which is robust to the slight local
feature chan...