[PDF] Top 20 About Classification Methods Based on Tensor Modelling for Hyperspectral Images
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About Classification Methods Based on Tensor Modelling for Hyperspectral Images
... algebra methods require a preliminary step which consists in vectorizing the ...rely on spectral properties only, neglecting the spatial ...representation based on ...several tensor ... See full document
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PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY
... the images but large size of hyperspectral images is an important concern for creating ...EMP based spectral- spatial classification method for hyperspectral imagery is ...both ... See full document
5
UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES
... extraction methods. They use all pixels in hyperspectral image without knowing their ...extraction based on supervised and fuzzy-based linear discriminant analysis (SLDA) (Li et ... See full document
6
USE SATELLITE IMAGES AND IMPROVE THE ACCURACY OF HYPERSPECTRAL IMAGE WITH THE CLASSIFICATION
... sensed images, is ...traditional classification methods is that each pixel is assigned to in a single class by presuming all pixels within the image are ...the classification results and ... See full document
7
A BAND SELECTION METHOD FOR SUB-PIXEL TARGET DETECTION IN HYPERSPECTRAL IMAGES BASED ON LABORATORY AND FIELD REFLECTANCE SPECTRAL COMPARISON
... makes hyperspectral data greatly redundant, leading to a problem such as 'Hughes phenomena [Hughes, ...BS methods for hyperspectral data are classification orientated and few of them are ... See full document
4
Analysis of vegetation dynamics using time-series vegetation index data from Earth Observation Satellites
... S10 images from SPOT VGT from 1999 to 2011 were processed for ...influence on the vegetation development, the most relevant period for this region is from April to ...site images of January and ... See full document
156
Classifiers ensemble in remote sensing: a
... the classification of a satellite image is estimated by measuring the accuracy between the classification of the land-cover made by any method and the ...the classification obtained by the ... See full document
66
A review of the quantification and classification of pigmented skin lesions: from dedicated to hand-held devices
... extraction, classification), but may also use a cloud service to perform the ...several classification schemes, it was concluded that SVM performed best, with a ...relies on a remote server (located ... See full document
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EXTRACTING TEMPORAL AND SPATIAL DISTRIBUTIONS INFORMATION ABOUT MARINE MUCILAGE PHENOMENON BASED ON MODIS SATELLITE IMAGES
... mucilage on meteorological data for northern Italy, in general, and some stations Adriatic, in particular, seems to indicate a correlation between the positive anomalies and events of mucilage, which occur common ... See full document
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Concealing the Level-3 features of Fingerprint in a Facial Image
... For Example: In any application the facial image is presented on the top of the card and fingerprint image of a person will be stored hidden state in a smart card that he/she carries . At an access control site, ... See full document
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COMPANY VALUATION METHODS BASED ON PATRIMONY
... A performance analysis should not be solely based on these methods for these 2 types of balance sheets show a static analysis at one moment in time. The companies can apply some “make-up” techniques ... See full document
6
An Integrated Approach to Digital Objects Storage and Retrieval
... relies on retrieving stored images from a collection by comparing low level features (binary form) that are automatically extracted from the images ...associating images that reveal similar ... See full document
7
An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images.
... and classification of different anatomical structures of teeth from medical images plays an essential role in many clinical ...and classification is a challenging task because the anatomical ... See full document
19
Phenotype classification of zebrafish embryos by supervised learning.
... obtain images of zebrafish embryos using a motorized micro- scope, but leaves classification into phenotypes manual ...needed on a case-by-case basis to produce analysis routines using several image ... See full document
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Multimodal classification of remote sensing images
... tion methods; (4) training, using different learning methods and the feature vectors extracted from both domains a set of base classifiers is created; (5) dynamic weight matrix construction, using the ... See full document
86
Fuzzy Controller for Matrix Converter System to Improve Its Quality of Output
... The voltage output is greater than the previous method. For the values q>0.866, the mean output voltage no longer equals the target output voltage in each switching interval. This inevitably leads to low frequency ... See full document
11
Sleep stage classification based on cardiorespiratory signals
... depends on the success of the previous phase in order to produce optimal ...variability on the expression of the differences between sleep stages on the fea- ...information about each feature, ... See full document
122
Ampliação, caracterização fenotípica e estruturação da Coleção de Bactérias aeróbias formadoras de endósporos nativas do solo do Distrito Federal
... the classification of the SDF strains identification based on sequences of 16S rRNA gene were performed in ...same classification obtained by MALDI- TOF ...both methods at the species ... See full document
110
A Comparative Analysis of Image Fusion Techniques for Remote Sensed Images
... two images is to decide on the feature space to use for ...input images are first decomposed following a multi-resolution wavelet or frame ...sub-band images of the reference image and input ... See full document
6
Braz. J. Phys. vol.34 número2A
... results on the algebraic classification, limits and their relation to Segre types in 5– D, and algebraic properties of second order symmetric ten- sors (energy momentum, Einstein and Ricci) in 5–D space- ... See full document
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