Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches, Azarang Arian, Kehtarnavaz Nasser
Автор: Jie Shan, Charles K. Toth (Editors) Название: Topographic laser ranging and scanning ISBN: 1498772277 ISBN-13(EAN): 9781498772273 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. Ranging and scanning fundamentals, and broad, contemporary analysis of airborne LiDAR systems, as well as those situated on land and in space are covered.
Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.
Описание: Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.
Автор: Manjunath V. Joshi Название: Multi-resolution Image Fusion in Remote Sensing ISBN: 1108475124 ISBN-13(EAN): 9781108475129 Издательство: Cambridge Academ Рейтинг: Цена: 11246.00 р. Наличие на складе: Поставка под заказ.
Описание: Presenting new advances in the field, this text will be a valuable reference for the students and researchers of image processing, multi-spectral imaging and remote sensing. It discusses tools and techniques of multi resolution image fusion with the necessary mathematical background.
Автор: Pohl, Christine , van Genderen, John Название: Remote Sensing Image Fusion ISBN: 0367873613 ISBN-13(EAN): 9780367873615 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases th
Автор: Miles Karen, Gray Richard Название: Cancer Treatment: Conventional and Modern Approaches ISBN: 1632410737 ISBN-13(EAN): 9781632410733 Издательство: Неизвестно Цена: 20108.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Currently, there is an increase in the use of modern techniques and mechanisms for cancer treatment. However, an ultimate treatment has not yet been found, and it needs more time and research to develop more effective methods for cancer treatment. This bo
Автор: Hunt Kingston Название: Orthopedics: Conventional and Modern Approaches ISBN: 1632417111 ISBN-13(EAN): 9781632417114 Издательство: Неизвестно Рейтинг: Цена: 24140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Handbook of Advanced Approaches towards Pollution Prevention and Control, Volume One: Conventional and Innovative Technology, and Assessment Techniques for Pollution Prevention and Control condenses all relevant information on pollution prevention and control in a single source. This handbook (Volume One of Two) covers the principles of pollution prevention and control technologies, recent advances in pollution prevention, control technologies and their sustainability, modernization in pollution prevention, and control technologies for future and next generation pollution prevention. This book is an indispensable resource for researchers and academic staff in chemical and process engineering, safety engineering, environmental engineering, biotechnology and materials engineering.
Автор: Kumar, Anil , Kumar, A. Senthil , Upadhyay, Priy Название: Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification ISBN: 036735571X ISBN-13(EAN): 9780367355715 Издательство: Taylor&Francis Рейтинг: Цена: 15004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification outputs from actual satellite data. All algorithms are supported by in-house developed tool as SMIC.
Автор: Prasad S. Thenkabail Название: Hyperspectral remote sensing of vegetation / ISBN: 1138066257 ISBN-13(EAN): 9781138066250 Издательство: Taylor&Francis Рейтинг: Цена: 76560.00 р. Наличие на складе: Поставка под заказ.
Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.
Автор: Ioannis Kanellopoulos; Graeme G. Wilkinson; Theo M Название: Machine Vision and Advanced Image Processing in Remote Sensing ISBN: 3642642608 ISBN-13(EAN): 9783642642609 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: P. Swarnalatha, Prabu Sevugan Название: Big Data Analytics for Satellite Image Processing and Remote Sensing ISBN: 1522536434 ISBN-13(EAN): 9781522536437 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
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