In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images.
Volume IV of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring.
This book focuses on the intelligent perception and interaction module in intelligent robotic systems, establishes a multidisciplinary cross-fertilization knowledge system, explores the related technology frontiers and research frontiers as comprehensively as possible from the perspective of scene modeling and understanding, and develops a practical exposition of practical application tasks such as robotic navigation, obstacle avoidance, and grasping.
Teach yourself programming starting with the basics and progressing to a series of exciting projects using Kotlin, one of today's hottest programming languages.
The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.
The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things.
The book presents a top-down circuit description for the implementation of asynchronous vision sensors based on Single-Photon Avalanche Diodes (SPADs).
There has been a lot of innovation in systems engineering and some fundamental advances in the field of optics, imaging, lasers, and photonics that warrant attention.
This book systematically and comprehensively introduces concepts, theories, principles, and applications of Thermal Infrared (TIR) imaging spectral techniques and TIR remote sensing.
Exclusively from McGraw-Hill Professional and InfoComm International, this exam guide covers the latest Certified Technology Specialist Design exam for AV professionals.
The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication.
The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication.
Visual Sensing and Ubiquitous Computing explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications.
This book is focused on a specialized but important subject of coastal and marine ecosystem management based on remote sensing imageries, such as Synthetic Aperture Radar (SAR) from Sentinel-1, MultiSpectral Instrument (MSI) from Sentinel-2A and Landsat, bathymetry form GEBCO, sea surface temperature (SST) from CMEMS.
This book is focused on a specialized but important subject of coastal and marine ecosystem management based on remote sensing imageries, such as Synthetic Aperture Radar (SAR) from Sentinel-1, MultiSpectral Instrument (MSI) from Sentinel-2A and Landsat, bathymetry form GEBCO, sea surface temperature (SST) from CMEMS.
This book, a follow-up of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis where the reader was introduced to data analysis on manifolds, is expanding the subject of data analysis on object spaces, to the case of metric spaces that have a smooth structure on an open dense subset only, governed by a nice filtration structure on the singular part of this space, that is comprised of manifolds whose boundaries are made of lower dimensional manifolds in this filtration.
This book, a follow-up of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis where the reader was introduced to data analysis on manifolds, is expanding the subject of data analysis on object spaces, to the case of metric spaces that have a smooth structure on an open dense subset only, governed by a nice filtration structure on the singular part of this space, that is comprised of manifolds whose boundaries are made of lower dimensional manifolds in this filtration.
