Building Feature Extraction with Machine Learning
Building Feature Extraction with Machine Learning Big geospatial datasets created by large infrastructure projects require massive computing resources to process. This book focuses on feature…
Specifikacia Building Feature Extraction with Machine Learning
Building Feature Extraction with Machine Learning
Big geospatial datasets created by large infrastructure projects require massive computing resources to process. This book focuses on feature extraction methods for optical geospatial data using ML. 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.
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.FeaturesProvides the basics of feature extraction methods and applications along with the fundamentals of machine learningDiscusses in detail the application of It is a practical guide for professionals and graduate students who are starting a career in information extraction.
Machine Learning with R
Machine Learning
MACHINE LEARNING