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[PDF] Top 20 A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

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A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

... algorithms based on synergetics theory for pattern match- ing, as in the example above, need to solve differential equations to estimate the dynamics of the test vector after being projected ... See full document

6

An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data

An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data

... a classification of hyperspectral remote sensing data (CASI) was conducted for pervious and impervious areas within the City of Surrey road allowance area to provide supporting information for urban ... See full document

5

A Discernibility Degree and Rough Set Based Classification Rule Generation Algorithm (RGD)

A Discernibility Degree and Rough Set Based Classification Rule Generation Algorithm (RGD)

... set theory based classification rule generation algorithm are ...new algorithm, in comparison with standard rough set method and other rule induction methods, is its ability to ... See full document

6

SPATIAL-SPECTRAL CLASSIFICATION BASED ON THE UNSUPERVISED CONVOLUTIONAL SPARSE AUTO-ENCODER FOR HYPERSPECTRAL REMOTE SENSING IMAGERY

SPATIAL-SPECTRAL CLASSIFICATION BASED ON THE UNSUPERVISED CONVOLUTIONAL SPARSE AUTO-ENCODER FOR HYPERSPECTRAL REMOTE SENSING IMAGERY

... input data and the reconstructed ...of data reconstruction is that the hidden units of the SAE conserves the useful information of the input data to the maximum ...input data into the most ... See full document

7

PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED  SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY

PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY

... of data, processing hyperspectral images results in higher computational ...SVMs on GPUs using compute unified device architecture (CUDA) (Sanders and Kandrot, 2011) to accelerate ...kernels ... See full document

5

DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM

DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM

... sensing data is characterized by a very high spectral resolution that usually results in hundreds of observation ...Although hyperspectral imagery provides comprehensive spectral information but ... See full document

6

Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview

Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview

... TIR data con- tribute to an improved understanding of land surface pro- cesses: i) through measurement of surface temperatures as related to specific landscape and biophysical components, and ii) through relating ... See full document

7

Merging Children's Oncology Group Data with an External Administrative Database Using Indirect Patient Identifiers: A Report from the Children's Oncology Group.

Merging Children's Oncology Group Data with an External Administrative Database Using Indirect Patient Identifiers: A Report from the Children's Oncology Group.

... registry data to Medi- care claims data with a matching rate of 91% and no validation [16]; Pasquali et al linked a heart surgery clinical registry data to PHIS, had a matching rate of 90% and in a ... See full document

8

Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach

Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach

... tool based on HSS of ...EM algorithm which is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems ... See full document

7

Fruit recognition and classification based on SVM method for production prediction of peaches

Fruit recognition and classification based on SVM method for production prediction of peaches

... an algorithm developed to analyze and process images to recognize fruits, particularly peaches, and calculate it dimensions, like volume and ...peaches on their natural conditions on trees depends ... See full document

8

Plagiarism Detection Based on SCAM Algorithm

Plagiarism Detection Based on SCAM Algorithm

... the only way a document can be questioned and retrieved. There are several implementations of Analyzer, most of them directly provided by Lucene project; furthermore it would take not too much effort if it is demanded to ... See full document

6

Filogenia molecular do gênero Dolichandra s.l. (Bignonieae, Bignoniaceae)

Filogenia molecular do gênero Dolichandra s.l. (Bignonieae, Bignoniaceae)

... C, on the other hand, a reversal from a hummingbird ancestral to a bee-pollinated morphology was inferred, an uncommon direction of pollination shift in angiosperms and Bignonieae (Alcantara & Lohmann, ... See full document

84

Classification of EEG data using FHT and SVM based on Bayesian Network

Classification of EEG data using FHT and SVM based on Bayesian Network

... analyze data and recognize patterns, used for classification and regression ...input data and predicts, for each given input, which of two possible classes the input is a member of, which makes the ... See full document

5

Du Wen1 Xu Tongyu 1,2 Yu Fenghua 1,2 Chen Chunling 1,2

Du Wen1 Xu Tongyu 1,2 Yu Fenghua 1,2 Chen Chunling 1,2

... effect on growth quality and crop ...content based on hyperspectral remote sensing data collected by an unmanned aerial vehicle ...a hyperspectral imager onboard an M600-UAV ... See full document

10

Bol. Mus. Para. Emílio Goeldi. Ciênc. hum.  vol.6 número3

Bol. Mus. Para. Emílio Goeldi. Ciênc. hum. vol.6 número3

... like data suppliers for the understanding of this and the other natural phenomena, could be ...the theory guidind of the cuvierian paradigm could not ...Cuvier’s theory and research program, which ... See full document

1

Query Pattern-based Relational Data to XML Data Translation Algorithm

Query Pattern-based Relational Data to XML Data Translation Algorithm

... [r] ... See full document

1

A kernel-based multivariate feature selection method for microarray data classification.

A kernel-based multivariate feature selection method for microarray data classification.

... Figure 3 illustrates the differentially expressed genes for two datasets, namely the Leukemia data and the Lymphoma data. No single gene is uniformly expressed across the class, all these genes as a group ... See full document

12

Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm

Spatio-temporal data mining in palaeogeographic data with a density-based clustering algorithm

... of data mining and the process of Knowledge Discovery in Databases (KDD) has increased its importance as grows the volume of data stored in large ...which data used differ both from traditional and ... See full document

103

On possibilities for action: The past, present and future of affordance research

On possibilities for action: The past, present and future of affordance research

... work on affordances was focused on, the so-called, body scaled affordances: affordances defined in terms of a geometric relation between the actor and the envi- ... See full document

16

Concordance between macroinvertebrate communities and the typological classification of white and clear-water streams in Western Brazilian Amazonia

Concordance between macroinvertebrate communities and the typological classification of white and clear-water streams in Western Brazilian Amazonia

... There are some non-exclusive reasons to explain why macroinvertebrate communities correspond to water types. First, our findings agree with previous studies that found associations between the distribution patterns of ... See full document

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