搜索结果: 1-15 共查到“遥感信息工程 Image classification”相关记录26条 . 查询时间(0.066 秒)
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...
AUTOMATIC APPROACH TO VHR SATELLITE IMAGE CLASSIFICATION
remote sensing classification texture analysis granulometry VHR satellite image vegetation indices
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2016/11/23
In this paper, we present a proposition of a fully automatic classification of VHR satellite images. Unlike the most widespread approaches: supervised classification, which requires prior defining of ...
PRELIMINARY RESULTS OF EARTHQUAKE-INDUCED BUILDING DAMAGE DETECTION WITH OBJECT-BASED IMAGE CLASSIFICATION
Ercis-Van Earthquake Object-Based Image Classification Building Damage Detection
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2016/11/23
Earthquakes are the most destructive natural disasters, which result in massive loss of life, infrastructure damages and financial losses. Earthquake-induced building damage detection is a very import...
A KERNEL METHOD BASED ON TOPIC MODEL FOR VERY HIGH SPATIAL RESOLUTION (VHSR) REMOTE SENSING IMAGE CLASSIFICATION
VHSR remote sensing image Classification Support vector machine (SVM) Composite kernel Latent Dirichlet allocation (LDA) Structure Spatial Spectral
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2016/11/23
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
REMOTE SENSING IMAGE CLASSIFICATION APPLIED TO THE FIRST NATIONAL GEOGRAPHICAL INFORMATION CENSUS OF CHINA
Image Classification High-resolution Satellite Image Pattern Recognition
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2016/11/23
Image classification will still be a long way in the future, although it has gone almost half a century. In fact, researchers have gained many fruits in the image classification domain, but there is s...
A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Diversity Deep Belief Network (DBN) Hyperspectral Image Classification
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2016/11/23
In recent years, researches in remote sensing demonstrated that deep architectures with multiple layers can potentially extract abstract and invariant features for better hyperspectral image classific...
IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION
Image quality assessment image texture analysis Image classification
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2016/11/23
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the rem...
EVALUATING THE INITIALIZATION METHODS OF WAVELET NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Classification Wavelet Neural Networks Wavelet Networks Initialization
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2016/11/23
The idea of using artificial neural network has been proven useful for hyperspectral image classification. However, the high dimensionality of hyperspectral images usually leads to the failure of cons...
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...
STUDY OF REMOTE SENSING IMAGE FUSION AND ITS APPLICATION IN IMAGE CLASSIFICATION
Landsat image data fusion spectral Distortion Classification accuracy Algorithms evaluation
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2015/12/31
Data fusion is a formal framework in which is expressed means and tools for the alliance of data originating from different sources.It aims at obtaining information of greater quality; the exact defin...
LOCAL SPATIAL STATISTICS FOR REMOTELY SENSED IMAGE CLASSIFICATION OF MANGROVE
Mangrove Remotely Sensed Image Classification Texture Local Spatial Statistics
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2015/12/31
As the spatial resolution improvement in remotely sensed imagery, more detail spatial information of mangrove forest can be shown.It is important to find a method, which can effectively use the spatia...
AN ADAPTIVE CLUSTERING ALGORITHM BASED ON THE POSSIBILITY CLUSTERING AND ISODATA FOR MULTISPECTRAL IMAGE CLASSIFICATION
ISODATA Possibility Clustering Fuzzy Clustering
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2015/12/31
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
EFFECTS OF JPEG2000 AND SPIHT COMPRESSION ON IMAGE CLASSIFICATION
JPEG2000 SPIHT Image compression Image classification assessment
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2015/12/31
In the field of aerial/satellite remote sensing, the quality of data generated by remote sensing platforms is increasing at a significant rate and researches in image compression focus in two aspects:...
ORGANIZATION AND REPRESENTATION OF OBJECTS IN MULTI-SOURCE REMOTE SENSING IMAGE CLASSIFICATION
Object-oriented data model Dynamic object representation Multisensor Geometric feature Spectral feature
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2015/12/31
Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of obje...
AN ALGORITHM FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON ARTIFICIAL IMMUNE B –CELL NETWORK
Pattern recognition Classifier Image Understanding Feature Recognition Land Cover
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2015/12/23
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...