[PDF] Top 20 Abstract : we proposed a spectral-spatial information based classification method for classification of diseased
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Abstract : we proposed a spectral-spatial information based classification method for classification of diseased
... image classification alluded to the naming of pictures into one of the various categories established in ...image classification [2] is revile of dimensionality which is Hughes ...supervised ... See full document
6
Detection of leaf structures in close-range hyperspectral images using morphological fusion
... raw spectral data was included as previous work and have successfully detected leave’s objects using only spectral ...the proposed method provides higher ...objects, spectral ... See full document
8
Hyperspectral image classification via contextual deep learning
... low spatial resolution of this data set, the presence of mixed pixels are the leading challenge for clas- ...the spectral-spatial classi- fication using learning-based feature extraction is ... See full document
12
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
... breakthrough method, containing spatial and temporal nets to model appearance and motion information ...appearance information, short-term and long-term mo- tion information, which ... See full document
8
SPECTRAL-SPATIAL CLASSIFICATION OF SPECTRAL IMAGES WITH SUPER PIXEL-BASED DISCRIMINATIVE SPARES MODEL
... Hyper spectral imaging has been widely used in the remote sensing which can acquire images from hundreds of narrow contiguous bands, spanning the visible-to-infrared ...hyper spectral image (HSI), each ... See full document
6
Volume 2, Issue 3, March 2013 Page 486
... object based, image classification methods are of two main ...Pixel based classification methods use only the spectral patterns to classify the individual ...Object based methods ... See full document
5
Spatial and Spectral Nonparametric Linear Feature Extraction Method for Hyperspectral Image Classification
... the classification speed, particularly when the training sample size is small, namely the small sample size (SSS) ...tailed information for classification, but it generally needs more samples to ... See full document
5
Classification of hyperspectral images by exploiting spectral-spatial information of superpixel via multiple kernels
... the proposed SC-MK algorithm is compared with those of seven competing classification algorithms: SVM [7], EMP [23], support vector machines-composite kernel (SVM-CK) [26], logistic regression via variable ... See full document
32
Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... the spatial correlation between training and testing ...pixel-based spectral analysis methods in which no spa- tial information is ...the spectral-spatial methods, the training ... See full document
179
A multiscale modified minimum spanning forest method for spatial-spectral hyperspectral images classification
... been proposed in order to fulfill the ...Image spatial resolution has been enhanced thanks to advances in the technology of hyperspectral image equipment ...if spatial information (the ... See full document
12
High Speed Improved Decision Tree for Mining Streaming Data
... stream classification, time is a major issue. However, these spatial datasets are too large to be classified effectively in a reasonable period of time using existing ...in Classification and ... See full document
7
A Visualization Method for Isosurface of Hyperspectral Data Combining the Spatial and Spectral Dimensions
... paper, we focus on the visualization of hyperspectral data and analyze the characteristics of them ...for spatial and spectral dimensions of hyperspectral data is studied by dimensionality ...the ... See full document
13
Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification
... image classification has become popular and has attracted extensive research efforts in recent ...high spatial resolution but relatively insufficient spectral ...end, spatial-spectral ... See full document
17
Hybrid Subspace Detection based on Spectral and Spatial Information for Effective Hyperspectral Image Classification
... extraction method such as Principal Component Analysis (PCA) has several shortcomings as it depends solely on global variance of the data set generated ignoring the low variant ...our proposed method ... See full document
7
Joint bilateral filtering and spectral similarity-based sparse representation : a generic framework for effective feature extraction and data classification in hyperspectral imaging
... the proposed classification framework (JSR-SS-JSRC) using the joint bilateral filtering together with the SS-JSRC method is compared with a few state-of-the-art spectral-spatial ... See full document
22
Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... (HSI) classification accuracy and to preprocess HSI by fully using the spatial and spectral information, a new spatial-spectral dimensionality reduction method, Weighted ... See full document
7
Survey on Classification Techniques for Music Mood
... We can define some summary features such as spectral centroid (SC), spectral rolloff (SR), spectral flux (SF), and spectral bandwidth (SB) capturing simple statistics of the ... See full document
6
Modeling and Characterization of Vegetation, Aquatic and Mineral Surfaces Using the Theory of Plausible and Paradoxical Reasoning from Satellite Images: Case of the Toumodi Yamoussoukro Tiébissou Zone in V Baoulé (Côte d’Ivoire)
... The approach used consisted first of a preprocessing on the ASTER satellite im- ages under ENVI, and then it was developed a classification model based on the calculation of spectral indices (NDVI, ... See full document
17
Approach for Dimensionality Reduction in Web Page Classification
... page classification is proposed by Xiaoyue Wang, Zhen Hua and Rujiang Bai ...is based on an analogy to biological ...rules. Based on the notion of survival of the fittest, a new population is ... See full document
6
Information Protection Using Data Classification Procedure in the Cloud Computing
... the information set away in the cloud server. In our work we have inspected the security computations like TDES, AES- 128/256 with the examination between ...Moreover we have exhibited new security ... See full document
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