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Spectral Spatial Classification Of Hyper

This comprehensive new resource presents recent developments in the classification of hyperspectral images using both spectral and spatial;

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Fluvial Remote Sensing for Science and Management

range of field contexts and spatial scales. Topics include colour imagery, multi-spectral and hyper-spectral imagery, video, photogrammetry and;

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Stellar Spectral Classification

Written by leading experts in the field, Stellar Spectral Classification is the only book to comprehensively discuss both the foundations;

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Hyperspectral Image Processing

classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP;

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Spectral Theory And Nonlinear Analysis With Applications To Spatial Ecology

This volume details some of the latest advances in spectral theory and nonlinear analysis through various cutting-edge theories on;

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Spatial Big Data Science

book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth;

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Advances in Classification and Data Analysis

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa;

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Spatial Similarity Relations in Multi-scale Map Spaces

in automated map generalization, including the definitions, classification and features of spatial similarity relations. Included also are calculation;

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Hyperspectral Imaging

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the;

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at;

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Spectral Geometry of Shapes

>Presents the latest advances in spectral geometric processing for 3D shape analysis applications, such as shape classification, shape;

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Sensitive Skin Syndrome

Sensitive skin is a widely reported condition where there is subjective cutaneous hyper-reactivity to environmental factors. Progress has;

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Automated Design of Machine Learning and Search Algorithms

techniques such as metaheuristics, statistical techniques, machine learning and hyper-heuristics. The book first defines the field of automated;

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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise;

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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise;

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Statistical Methods for Spatial Data Analysis

comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis;

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Statistical Methods for Spatial Data Analysis

semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a;

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Remote Sensing of Plant Biodiversity

with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree;

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Evolutionary Biology

The current volume includes articles on the conceptual relationship of ontogeny, phylogeny, and classification; correlation studies;

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Spectral Methods in Geodesy and Geophysics

spatial domain. The word methods in the title is meant to convey that the transformation of a geophysical signal into the spectral domain can be;

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Spectral Methods in Geodesy and Geophysics

spatial domain. The word methods in the title is meant to convey that the transformation of a geophysical signal into the spectral domain can be;

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Jets From Young Stars Ii

This volume offers a background in modern high spatial resolution techniques, illustrating how such methods have impacted on our;

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Fundamentals of Data Analytics

and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral;

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Fundamentals of Data Analytics

and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral;

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Computational Color Imaging

papers are organized in topical sections on color image perception; color combination; multi-spectral image analysis and rendering; color image;

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Inorganic Chemistry

Using classification, diagrams and crystallography elements, we describe in this book the bonds in the crystals using the basic patterns;

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Hyper-Specializing in Saxophone Using Acoustical Insight and Deep Listening Skills

classification system. The book demonstrates how it is possible to play these instrument variations with high proficiency, and describes the method;

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