[PDF] Top 20 Spectral analysis classification sonars
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Spectral analysis classification sonars
... in the Classification Sonar was developed using an air model of the underwater sonar • More generally, the elimination of blind time, the incorporation of digital frequency synthesis int[r] ... See full document
190
Mammographic Image Enhancement, Classification and Retrieval using Color, Statistical and Spectral Analysis
... categories of breast images shown in figure 1. The pattern of S(r) and S(θ) obtained for each of these images is different. The plot of S(r) corresponding to Figure 7 shows no strong periodic components i.e. there are no ... See full document
6
Unsupervised spectral classification of astronomical x-ray sources based on independent component analysis
... the spectral S/N ratio, we used a circle of 30 arcsecond radius as the smallest extraction region to generate source ...future spectral fitting analysis, we rebinned the original EPIC PN spectra of ... See full document
170
Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network
... the analysis result of reflectance spectra data is contrast with blood sample analysis ...reflectance spectral analysis for healthy and blood hypervis- cosity case classification can ... See full document
12
Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... Hyperspectral remote sensing technology has been rapidly developed since in the 1980 of the 20 th century [1], and widely used for environmental science, geological research, precision agriculture, and military [2], [3]. ... See full document
7
In Vivo Spectral Absorption Analysis Enabling the Classification of Pigmented Cutaneous Lesions: Investigating System Design and the Role of Faculative Melanin in the Spectral Determination of Skin Type Classification
... Rochester Institute of Technology RIT Scholar Works Theses Thesis/Dissertation Collections 1984 In Vivo Spectral Absorption Analysis Enabling the Classification of Pigmented Cutaneous Le[r] ... See full document
60
Comparative Analysis of Land Cover Classification using ML and SVM Classifier for LISS-iv Data Rahul Neware* 1
... in spectral, spatial, temporal and radiometric domains, with each domain having specific resolution to information ...object-based classification. In the case of supervised classification, two ... See full document
14
The employment of spectroscopic techniques coupled with chemometrics for authentication analysis of halal pharmaceuticals
... authentication analysis is very important to assure that the pharmaceutical products are free from non-halal ...for analysis of PDs in pharmaceutical products, due to its advantages, namely rapid, ... See full document
6
Spectral-spatial Feature Extraction for Hyperspectral Image Classification
... pixel-based spectral analysis methods in which no spa- tial information is ...the spectral-spatial methods, the training and testing samples would inevitably interact with each other, and thus the ... See full document
179
Long memory and changepoint models:a spectral classification procedure
... In this paper we consider the ambiguity be- tween long memory and changepoint models. This ambiguity has been documented in fields such as Finance and Economics which are mod- elled using long memory models [10, 26] and ... See full document
12
Novel methodologies for spectral classification of exon and intron sequences
... 1, 1]. The K-Quaternary Code III (Code 15) [C, G, A, T] = [-j, -1, 1, j] is identical to the pentanary code in [20] (with [20] specifies that x[n] = 0 for an unknown nucleotide at position n) which was derived for the ... See full document
14
Comparative Study of Algorithms for Hyper Spectral Image Classification
... Remote sensing refers to the collection and analysis of data that is acquired by a satellite type instrument .With an example, remote sensing can be explained as follows, if we take the picture of a school ... See full document
5
SPECTRAL-SPATIAL CLASSIFICATION OF SPECTRAL IMAGES WITH SUPER PIXEL-BASED DISCRIMINATIVE SPARES MODEL
... other classification approaches have focused on the design of effective feature extraction or reduction techniques, such as the principle component analysis, clonal selection feature-selection, kernel ... See full document
6
High-Resolution Sonars: What Resolution Do We Need for Target Recognition?
... high-frequency sonars, sonar resolution has dramatically increased and noise levels ...imaging sonars because of their limited resolution and high noise ...high-resolution sonars, algorithms ... See full document
13
Music Genre Classification using Spectral Analysis Techniques With Hybrid Convolution Recurrent Neural Network
... Ahmed Elbie et al. [4], the GTZAN dataset is used and perform feature extraction is statistical descriptors. They extracted about 8 features i.e. zero crossing rate, spectral centroid, spectral contrast, ... See full document
6
Musical Instrument Timbres Classification with Spectral Features
... only spectral characteristics of sound and are limited in ...various classification methods are implemented and ...discriminant analysis show comparable results with success rates close to 70% of ... See full document
10
Vowel and Consonant Classification through Spectral Decomposition
... Another notable antecedent is Goldsmith and Xanthos (2009), who discovered essentially the same method for vowel-consonant separation in the context of spectrally analyzing phonemic tran- scriptions. While the premise ... See full document
10
Maximum Likelihood Classification of High-Resolution Multispectral Data OverArasikere Semi-urban Area A L Choodarathnakara,Sujith J, Priyanka R, Prathibha Rani P S, Anupama S J, Arpitha A V
... Image Classification is a process of automatically categorizing all pixels in an image into finite number of classes or ...its spectral signature, which is determined by the relative reflectance in ... See full document
10
Spectral information of EEG signals with respect to epilepsy classification
... the analysis of epilepsy in EEG mainly apply discrete wavelet transform (DWT) or wavelet packet decompos- ition ...wavelet analysis, a linear combination of specific functions repre- sents the initial ... See full document
17
Signal Classification in Fading Channels Using Cyclic Spectral Analysis
... The systems were first tested in a slow flat fading channel. Here, the systems were simulated using a multiantenna approach. The initial SOF-based stage used the MRC- variant method outlined in Section 3, while the HOCS- ... See full document
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