دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: نویسندگان: Sumit Kumar, Raj Setia, Kuldeep Singh سری: Lecture Notes in Electrical Engineering, 970 ISBN (شابک) : 981197697X, 9789811976971 ناشر: Springer سال نشر: 2023 تعداد صفحات: 217 [218] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 8 Mb
در صورت تبدیل فایل کتاب Artificial Intelligence and Machine Learning in Satellite Data Processing and Services: Proceedings of the International Conference on Small Satellites, ICSS 2022 به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب هوش مصنوعی و یادگیری ماشین در پردازش و خدمات داده های ماهواره ای: مجموعه مقالات کنفرانس بین المللی ماهواره های کوچک، ICSS 2022 نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب، هوش مصنوعی و یادگیری ماشین در ماهواره: پردازش داده ها و خدمات، مجموعه مقالات برگزیده کنفرانس بین المللی ماهواره های کوچک (ICSS 2022) را ارائه می دهد که هدف آن ارائه فرصتی برای دانشگاهیان، دانشمندان، محققان، و کارشناسان صنعت، درگیر آموزش، تحقیق و توسعه پردازش داده های ماهواره ای و خدمات آن با استفاده از تکنیک های پیشرفته یادگیری ماشین مبتنی بر هوش مصنوعی هستند. این کتاب کاربرد هوش مصنوعی و تکنیکهای یادگیری ماشین را در حوزههای مختلف مشاهدات زمین مانند منابع طبیعی و مدیریت محیطزیست، منابع آب، توسعه شهری و روستایی، تغییرات آب و هوا و سایر موضوعات معاصر را پوشش میدهد. این کتاب مطمئناً دارایی ارزشمندی برای مبتدیان، محققان و متخصصانی خواهد بود که در پردازش داده های ماهواره ای و خدمات با استفاده از رویکردهای هوش مصنوعی و یادگیری ماشین کار می کنند.
This book, Artificial Intelligence and Machine Learning in Satellite: Data Processing and Services, presents the selected proceedings of the International Conference on Small Satellites (ICSS 2022) that aims to provide an opportunity for academicians, scientists, researchers, and industry experts, engaged in teaching, research, and development on satellite data processing and its services by employing advanced artificial intelligence-based machine learning techniques. This book covers the application of artificial intelligence and machine learning techniques in various domains of earth observations like natural resources and environmental management, water resources, urban and rural development, climate change, and other contemporary subjects. The book will surely be a valuable asset for beginners, researchers, and professionals working in satellite data processing and services using artificial intelligence and machine learning approaches.
Preface Contents About the Editors Sentinel-2 Satellite Image Enhancement and Compression Based on DWT and Vector Quantization 1 Preamble 2 Discrete Wavelet Transform (DWT) 3 Vector Quantization 4 Results and Analysis 5 Conclusion References Estimation of Mars Orbiter Orbit Based on Mars Color Camera Images 1 Introduction 2 Methodology 2.1 Estimation of Position Vector 2.2 Estimation of Velocity Vector 2.3 Correction of Attitude Error 3 Characteristics of Mars Image Using Edge Detection 4 Estimation of Orbit 4.1 Position Vector 4.2 Velocity Vector 5 Sources of Error 6 Conclusion References Graph Theory-Based HEVC Video Compression of Satellite Videos 1 Introduction 2 Proposed Method 3 Results and Discussion 4 Conclusion References Detection of Automobile Accidents Through Satellite Navigation System 1 Introduction 1.1 Motivation 2 Block Diagram 3 Working 3.1 Algorithm 3.2 Output 4 Result and Discussion 5 Conclusion References Simulation of Multispectral Data Using Hyperspectral Data for Crop Stress Studies 1 Introduction 2 Objective 3 Material and Methods 3.1 Hyperspectral Data 3.2 AI Techniques 3.3 Suitable Bands in Multispectral Satellite Imagery 4 Results and Discussions 4.1 Comparison of Machine Learning Techniques Across Three Nitrogen Regimes 4.2 Machine Learning Model Explanations 4.3 Suitable Bands in Multispectral Satellite Imagery 5 Conclusion References Detecting Growth of Paddy in Punjab Using SAR Sentinel-1 and Sentinel-2 Data 1 Introduction 2 Methodology 2.1 Study Area 2.2 Data and Research Methods 3 Result and Discussion 3.1 Extraction of Paddy Growth Parameters 4 Conclusions and Suggestions References IoT-Based Smart Irrigation System for Mango Orchard 1 Introduction 2 Problem Description 3 Working Procedure 3.1 Different Modes in Mobile Application 4 Analysis of Water Requirements for Mango Trees 5 Conclusion References Collection of Space Debris Using Electromagnetic Metallic Net 1 Introduction 2 Description of the Journey 2.1 Debris in Space 2.2 Sequence of the Journey 3 System Description 3.1 System Architecture 3.2 Capturing Tool 3.3 Data Management Subsystem 3.4 Orbit Control Subsystem (OCS) 4 Conclusion References Modelling and Simulation of Hybrid Renewable Energy System Using Real-Time Simulator 1 Introduction 2 Power Conversion Methodology 2.1 Doubly Fed Induction Generator Selecting 2.2 Rectifier, NPC Inverter, and Boost Regulator 2.3 Solar PV System 3 Simulation Results 4 Conclusion Appendix References Monitoring of Vegetation Recovery After Canal Breaching Using Planet Data 1 Introduction 2 Material and Methods 2.1 Study Area 2.2 Methodology 2.3 Principal Component Analysis 2.4 Normalized Difference Vegetation Index 3 Results and Discussion 3.1 PCA-Based Change Detection 3.2 Time Series Evaluation of NDVI 3.3 Spectral Profile of Flood-Affected Vegetation 4 Conclusion References Moving Object Detection Using Satellite Navigation System 1 Introduction 1.1 Background Study 2 System Model and Problem Description 2.1 Image Capture 2.2 Feature Detection 2.3 Collecting Putative Points 2.4 Object Detection 2.5 Methods of Detecting a Moving Object 3 Image Processing 4 Results and Output 5 Conclusion and Future Scope References A Comprehensive Review on Small Satellites: Services and Applications 1 Introduction 1.1 Related Work 2 Services and Applications 2.1 Earth Observation (EO) and Remote Sensing 2.2 Science and Technology Demonstration Missions 2.3 Interplanetary Exploration Missions 2.4 Communications Services 2.5 Commercial, Civil, and Military Applications 3 Conclusion References Mapping Orchards and Crops Using Sentinel-2 Imagery 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Acquisition and Collection 2.3 Methodology 3 Results and Discussion 4 Conclusions References A Review on Satellite Image Processing for Landslides Detection 1 Introduction 2 Literature Survey 3 Discussion 4 Conclusion References Impact of Green Cover on Urban Heat Island: A Comparative Assessment of Two Major Cities of North-West India 1 Introduction 2 Material and Method 2.1 Study Area 2.2 Satellite Data 2.3 Computation of Land Surface Temperature 2.4 Spatial Mapping of Urban Heat Island (UHI) 2.5 Relationship Among LST, NDVI, and NDBI 3 Results and Discussion 3.1 LST of Ludhiana and Chandigarh Cities 3.2 Vegetation in Ludhiana and Chandigarh Cities 3.3 Built-Up Variations in Ludhiana and Chandigarh Cities 3.4 Relationship Among LST, NDBI, and NDVI 3.5 Spatial Mapping of Urban Heat Island in Ludhiana and Chandigarh Cities 4 Conclusions References Image Denoising for Satellite Imagery Using Amalgamated ROAD-TGM and PCA Algorithm 1 Introduction 2 Algorithm Design and Performance Evaluation 3 Conclusion References A Unified Approach Towards Effective Forest Fire Monitoring Systems Using Wireless Sensor Networks and Satellite Imagery 1 Introduction 1.1 Wireless Technologies 1.2 Satellites 2 Literature Survey Regarding Various Satellites Being Used for Collecting Forest Fire Imagery Data 3 Analysis 4 Conclusion References Natural Image Reconstruction for Noise-Affected Satellite Images Using ICA 1 Introduction 2 Independent Component Analysis 3 Principles of Independent Component Analysis Estimation 4 Preprocessing Methods 5 Conclusion References Use of Satellite Data in Assessing Feasibility of Terrain Factors for Landslide Susceptibility 1 Introduction 2 Study Area 3 Inventory and Data Used 4 Methodology 4.1 Terrain Parameters 4.2 DEM Derivatives 4.3 Relationship Between Terrain Conditions and the Occurrence of Landslides 5 Result and Discussion 5.1 Frequency Ratio 5.2 Weight of Evidence 5.3 Landslide Susceptibility Map Generation 6 Conclusion References Classification of Potato in Indian Punjab Using Time-Series Sentinel-2 Images 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Classification of Satellite Data and Field Survey 3 Results and Discussion 3.1 Reflectance Pattern of Potato and Wheat 3.2 Classification of Potato 4 Conclusions References Content-Based Satellite Image Retrieval on Edge Detection Algorithm and Compression with ACO During Boundaries Analysis 1 Introduction 1.1 Image Processing 1.2 Feature Extraction 1.3 Image Compression 1.4 Edge Detection 1.5 Ant Colony Optimization 2 Literature Review 3 Research Gap 3.1 Problem Statement 3.2 Proposed Work 4 Result and Discussion 4.1 Simulation of Contrast 4.2 Simulation of Correlation 4.3 Simulation of Entropy 4.4 Simulation of Energy 4.5 Simulation of Variance 4.6 Simulation of Standard Deviation 4.7 Simulation of Smoothness 4.8 Simulation of Skewness 5 Conclusion References