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221102s2023 flu ob 001 0 eng |
020 |
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|z 9781032229386
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020 |
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|z 9781032245225
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|a 9781000820744 (online)
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020 |
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|a 9781000820751 (online)
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|a 9781003279082 (online)
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035 |
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|a (EBZ)ebs102021694e
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040 |
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|a DLC
|b eng
|d EBZ
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042 |
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|a pcc
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050 |
0 |
0 |
|a GB400.42.R4
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100 |
1 |
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|a Wang, Peng,
|d 1989-
|e author.
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245 |
1 |
0 |
|a Subpixel mapping for remote sensing images
|h [electronic resource] /
|c Peng Wang and Lei Zhang.
|
264 |
|
1 |
|a Boca Raton :
|b CRC Press,
|c 2023.
|
504 |
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|a Includes bibliographical references and index.
|
520 |
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|a "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 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. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data"--
|c Provided by publisher.
|
650 |
|
0 |
|a Land cover
|x Remote sensing.
|
650 |
|
0 |
|a Subpixel imaging.
|
650 |
|
0 |
|a Image processing
|x Digital techniques.
|
650 |
|
0 |
|a Spatial systems.
|
700 |
1 |
|
|a Zhang, Lei,
|d 1978-
|e author.
|
773 |
0 |
|
|t Taylor & Francis eBooks (Complete Collection)
|d Taylor and Francis
|
776 |
0 |
8 |
|i Print version:
|a Wang, Peng, 1989-
|t Subpixel mapping for remote sensing images
|d Boca Raton : CRC Press, 2023
|z 9781032229386
|w (DLC) 2022033610
|
856 |
4 |
0 |
|y Access Content Online(from Taylor & Francis eBooks (Complete Collection))
|u https://ezproxy.msu.edu/login?url=https://www.taylorfrancis.com/books/9781003279082
|z Taylor & Francis eBooks (Complete Collection): 2022
|