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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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Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing

analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning;

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Hyperspectral Image Analysis

analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Techniques and Applications of Hyperspectral Image Analysis

Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral;

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Hyperspectral Imaging Analysis and Applications for Food Quality

remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications;

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Hyperspectral Data Processing

the author s first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results;

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Signal and Image Processing for Remote Sensing

problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique;

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Kernel Methods for Remote Sensing Data Analysis

. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data;

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Hyperspectral Imaging

hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;

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Deep Learning in Medical Image Analysis

chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast;

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Image Texture Analysis

deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics;

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Hyperspectral Data Compression

interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4;

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Advanced Image and Video Processing Using MATLAB

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining;

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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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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Deep Learning for Computer Vision

build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on;

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Deep Network Design for Medical Image Computing

principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and;

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Advanced Deep Learning with R

learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural;

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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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State of the Art in Neural Networks and Their Applications

studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted;

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Hands-On Deep Learning for Images with TensorFlow

images Prepare your dataset for machine learning Create classical, convolutional, and deep neural networks Create a RESTful image classification;

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