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Artificial Intelligence Techniques for Satellite Image Analysis

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Cover of 'Artificial Intelligence Techniques for Satellite Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Heightening Satellite Image Display via Mobile Augmented Reality – A Cutting-Edge Planning Model
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    Chapter 2 Multithreading Approach for Clustering of Multiplane Satellite Images
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    Chapter 3 Classification of Field-Level Crop Types with a Time Series Satellite Data Using Deep Neural Network
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    Chapter 4 Detection of Ship from Satellite Images Using Deep Convolutional Neural Networks with Improved Median Filter
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    Chapter 5 Artificial Bee Colony-Optimized Contrast Enhancement for Satellite Image Fusion
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    Chapter 6 Effective Transform Domain Denoising of Oceanographic SAR Images for Improved Target Characterization
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    Chapter 7 Fused Segmentation Algorithm for the Detection of Nutrient Deficiency in Crops Using SAR Images
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    Chapter 8 Detection of Natural Features and Objects in Satellite Images by Semantic Segmentation Using Neural Networks
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    Chapter 9 Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery
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    Chapter 10 Crop Classification and Mapping for Agricultural Land from Satellite Images
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    Chapter 11 Next-Generation Artificial Intelligence Techniques for Satellite Data Processing
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    Chapter 12 A Wavelet Transform Applied Spectral Index for Effective Water Body Extraction from Moderate-Resolution Satellite Images
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