PirateBay Download | garg s earth observation data analytics using machine deep learning 2023

garg s earth observation data analytics using machine deep learning 2023

Type:: E-books
Files:: 1
Size:: 27.2 MB
Uploaded On:: June 22, 2023, 6:09 p.m.
Added By:: andryold1
Seeders:: 11
Leechers:: 4
Info Hash:: 638A2BCF916D79B76EA557733B3A9FBEAE67B179

Textbook in PDF format Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations.Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation. Introduction Clustering and classification of Earth Observation data Rare event detection using Earth Observation data Tools and technologies for Earth Observation data

Get This Torrent

Garg S. Earth Observation Data Analytics Using Machine and Deep Learning 2023.pdf 27.2 MB

Details for: Garg S. Earth Observation Data Analytics Using Machine and Deep Learning 2023

garg s earth observation data analytics using machine deep learning 2023

Similar Posts: