Optics and Machine Vision for Marine Observation

Optics and Machine Vision for Marine Observation
Author :
Publisher : Frontiers Media SA
Total Pages : 324
Release :
ISBN-10 : 9782832533291
ISBN-13 : 2832533299
Rating : 4/5 (91 Downloads)

Book Synopsis Optics and Machine Vision for Marine Observation by : Hong Song

Download or read book Optics and Machine Vision for Marine Observation written by Hong Song and published by Frontiers Media SA. This book was released on 2023-10-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Optics and Machine Vision for Marine Observation Related Books

Optics and Machine Vision for Marine Observation
Language: en
Pages: 324
Authors: Hong Song
Categories: Science
Type: BOOK - Published: 2023-10-13 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Artificial Intelligence and Computer Vision
Language: en
Pages: 220
Authors: Huimin Lu
Categories: Technology & Engineering
Type: BOOK - Published: 2016-11-01 - Publisher: Springer

DOWNLOAD EBOOK

This edited book presents essential findings in the research fields of artificial intelligence and computer vision, with a primary focus on new research ideas a
Deep Learning for Marine Science
Language: en
Pages: 555
Authors: Haiyong Zheng
Categories: Science
Type: BOOK - Published: 2024-05-15 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in t
Emerging Technologies with High Impact for Ocean Sciences, Ecosystem Management, and Environmental Conservation
Language: en
Pages: 235
Authors: Oscar Pizarro
Categories: Science
Type: BOOK - Published: 2021-07-27 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
Language: en
Pages: 508
Authors: Ni-Bin Chang
Categories: Technology & Engineering
Type: BOOK - Published: 2018-02-21 - Publisher: CRC Press

DOWNLOAD EBOOK

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made envir