- Main
- Computers - Artificial Intelligence (AI)
- Building Feature Extraction with...
Building Feature Extraction with Machine Learning
Bharath Aithal, Prakash P Sدا کتاب تاسو ته څنګه خواښه شوه؟
د بار شوي فایل کیفیت څه دئ؟
تر څو چې د کتاب کیفیت آزمایښو وکړئ، بار ئې کړئ
د بار شوو فایلونو کیفیتی څه دئ؟
Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others.
Features
• Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning
• Discusses in detail the application of machine learning techniques in geospatial building feature extraction
• Explains the methods for estimating object height from optical satellite remote sensing images using Python
• Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment
• Highlights the potential of machine learning and geospatial technology for future project developments
This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.
Features
• Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning
• Discusses in detail the application of machine learning techniques in geospatial building feature extraction
• Explains the methods for estimating object height from optical satellite remote sensing images using Python
• Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment
• Highlights the potential of machine learning and geospatial technology for future project developments
This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.
درجه (قاطیغوری(:
کال:
2023
خپرندویه اداره:
CRC Press
ژبه:
english
صفحه:
152
ISBN 10:
1032263830
ISBN 13:
9781032263830
فایل:
PDF, 13.18 MB
ستاسی تیګی:
IPFS:
CID , CID Blake2b
english, 2023
په آن لاین ډول لوستل
- کاپی کول
- pdf 13.18 MB Current page
- Checking other formats...
- ته بدلول
- Unlock conversion of files larger than 8 MBPremium
غواړئ کتاب پلورنځي ته اضافه وکړئ؟ مونږ سره د support@z-lib.do له لارې اړیکه ونیسئ
د ۱- ۵ دقیقو په جریان کې فایل ستاسی ایمل ته دررسیږی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د ټیلیګرام آکاونټ ته وسپارل شي.
یادونه: مطمئن شئ چې تاسو خپل آګاونټ د Z-Library Telegram بوټ سره تړلی دی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د Kindle وسیلې ته وسپارل شي.
ملاحظه هر کتاب چي تاسي Kindle ته ليږئ باید تصدیق شی. خپله الکترونیکی پوسته تفتیش کړئ چې پکښې باید د Amazon Kindle Support له خوا مکتوب وی.
ته بدلون په کار دي
ته بدلون ناکام شو
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- د لټون نورې نبیجې
- More benefits