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Titlebook: Remote Sensing Digital Image Analysis; John A. Richards Textbook 2022Latest edition The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 16:58:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Remote Sensing Digital Image Analysis
編輯John A. Richards
視頻videohttp://file.papertrans.cn/827/826885/826885.mp4
概述Provides comprehensive treatment of entire spectrum of acquisition, analysis, and processing of remotely sensed data.Is revised and enhanced to reflect new developments in the field—CNN, big data, etc
圖書封面Titlebook: Remote Sensing Digital Image Analysis;  John A. Richards Textbook 2022Latest edition The Editor(s) (if applicable) and The Author(s), under
描述.Remote Sensing Digital Image Analysis. provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.? Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same.? As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing...The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing.? The presentation level is for the mathematical non-specialist.? Since the very great number of operational users of remote sensing come?from the earth sciences communities, the text is pitched at a level commensurate with their background.??..The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The pri
出版日期Textbook 2022Latest edition
關(guān)鍵詞Image enhancement; Image resolution; Image processing; Convolutional Neural Networks (CNN); Hyperspectra
版次6
doihttps://doi.org/10.1007/978-3-030-82327-6
isbn_softcover978-3-030-82329-0
isbn_ebook978-3-030-82327-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:41:41 | 只看該作者
http://image.papertrans.cn/r/image/826885.jpg
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發(fā)表于 2025-3-22 01:13:49 | 只看該作者
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發(fā)表于 2025-3-22 10:29:29 | 只看該作者
Sources and Characteristics of Remote Sensing Image Data,orms and different sensor types are covered, along with the earth surface characteristics that can be detected with remote sensing instruments. Image scale is considered and the location of remote sensing within the fields of geographic information systems and digital earth models is introduced.
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發(fā)表于 2025-3-22 15:27:34 | 只看該作者
Correcting and Registering Images,for registering images to a map base and to register sets of images to each other geographically. Mathematical models for common sources of geometric distortion are also treated. Examples of the main methods for correction and registration are given.
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發(fā)表于 2025-3-22 17:04:47 | 只看該作者
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發(fā)表于 2025-3-22 21:25:16 | 只看該作者
Clustering and Unsupervised Classification, unsupervised methods is discussed, including how clusters are associated with ground cover classes after clustering is complete. Special attention is paid to procedures that can be applied to very large data sets.
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發(fā)表于 2025-3-23 01:36:59 | 只看該作者
Feature Reduction,nificant bands to be identified. The principal components transform is shown to be suitable as the basis of feature reduction in some circumstances, as is the transform based on canonical analysis. The application of many of the procedures given is illustrated by hand-worked examples.
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發(fā)表于 2025-3-23 05:32:49 | 只看該作者
to reflect new developments in the field—CNN, big data, etc.Remote Sensing Digital Image Analysis. provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.? Over the past decade there have been continuing and significant development
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