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Image Analysis, Classification, and Change Detection in Remote Sensing

sensing. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL combines theory, algorithms, and;

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Kernel Methods for Remote Sensing Data Analysis

, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection;

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Remotely Sensed Data Characterization, Classification, and Accuracies

A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the;

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Image Analysis, Classification and Change Detection in Remote Sensing

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the;

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Image Analysis, Classification and Change Detection in Remote Sensing

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the;

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Image Analysis, Classification and Change Detection in Remote Sensing

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces;

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Image Analysis and Recognition

classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.;

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Remote Sensing Image Classification in R

processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R;

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Trends and Advancements of Image Processing and Its Applications

several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking - including;

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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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Remote Sensing Imagery

, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and;

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Scale Issues in Remote Sensing

processes Scale is a fundamental and crucial issue in remote sensing studies and image analysis. GIS and remote sensing scientists use various;

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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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Remote Sensing Time Series Image Processing

possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series;

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Advances in Environmental Remote Sensing

use of variables and classification algorithms, and the analyst's experience. An authoritative text, Advances in Environmental Remote Sensing;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis;

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Topics in Remote Sensing

Remote sensing and geographic information systems (GIS) are inherently linked technologies. Together, they form a powerful tool to measure;

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Image Analysis

contributions are structured in topical sections on history of SCIA; motion analysis and 3D vision; pattern detection and recognition; machine learning;

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Image Analysis

contributions are structured in topical sections on history of SCIA; motion analysis and 3D vision; pattern detection and recognition; machine learning;

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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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Advances In Remote Sensing And Gis Analysis

of remote sensing methods and the integrated use of remote sensing and GIS analysis, and contains international contributors from academia, industry;

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Advances in Signal Processing

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote;

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Advances in Signal Processing

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote;

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Computer Vision in Advanced Control Systems-5

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;

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