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Subpixel Mapping for Remote Sensing Images

2022-12-15 Technology & Engineering
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Release : 2022-12-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 742/5 ( reviews)

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Book Synopsis Subpixel Mapping for Remote Sensing Images by : Peng Wang

Download or read book Subpixel Mapping for Remote Sensing Images written by Peng Wang. This book was released on 2022-12-15. Available in PDF, EPUB and Kindle. Book excerpt: Subpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data. This book will be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields.

Soft-then-hard Sub-pixel Mapping Algorithm for Remote Sensing Images

2015 Image analysis
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Release : 2015
Genre : Image analysis
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Soft-then-hard Sub-pixel Mapping Algorithm for Remote Sensing Images by : Qunming Wang

Download or read book Soft-then-hard Sub-pixel Mapping Algorithm for Remote Sensing Images written by Qunming Wang. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt:

Learning to Understand Remote Sensing Images

2019-09-30 Computers
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Release : 2019-09-30
Genre : Computers
Kind : eBook
Book Rating : 989/5 ( reviews)

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Book Synopsis Learning to Understand Remote Sensing Images by : Qi Wang

Download or read book Learning to Understand Remote Sensing Images written by Qi Wang. This book was released on 2019-09-30. Available in PDF, EPUB and Kindle. Book excerpt: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Remote Sensing Image Analysis: Including the Spatial Domain

2007-07-26 Science
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Release : 2007-07-26
Genre : Science
Kind : eBook
Book Rating : 602/5 ( reviews)

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Book Synopsis Remote Sensing Image Analysis: Including the Spatial Domain by : Steven M. de Jong

Download or read book Remote Sensing Image Analysis: Including the Spatial Domain written by Steven M. de Jong. This book was released on 2007-07-26. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Hyperspectral Image Processing

2015-07-15 Technology & Engineering
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Release : 2015-07-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 565/5 ( reviews)

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Book Synopsis Hyperspectral Image Processing by : Liguo Wang

Download or read book Hyperspectral Image Processing written by Liguo Wang. This book was released on 2015-07-15. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

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