000 | 03307nam a22005295i 4500 | ||
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001 | 978-3-031-02256-2 | ||
003 | DE-He213 | ||
005 | 20240730163848.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2021 sz | s |||| 0|eng d | ||
020 |
_a9783031022562 _9978-3-031-02256-2 |
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024 | 7 |
_a10.1007/978-3-031-02256-2 _2doi |
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100 | 1 |
_aAzarang, Arian. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980876 |
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245 | 1 | 0 |
_aImage Fusion in Remote Sensing _h[electronic resource] : _bConventional and Deep Learning Approaches / _cby Arian Azarang, Nasser Kehtarnavaz. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXI, 81 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 |
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505 | 0 | _aPreface -- Introduction -- Introduction to Remote Sensing -- Conventional Image Fusion Approaches in Remote Sensing -- Deep Learning-Based Image Fusion Approaches in Remote Sensing -- Unsupervised Generative Model for Pansharpening -- Experimental Studies -- Anticipated Future Trend -- Authors' Biographies -- Index. | |
520 | _aImage 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. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aElectrical engineering. _980877 |
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650 | 0 |
_aSignal processing. _94052 |
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650 | 1 | 4 |
_aTechnology and Engineering. _980878 |
650 | 2 | 4 |
_aElectrical and Electronic Engineering. _980879 |
650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
700 | 1 |
_aKehtarnavaz, Nasser. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980880 |
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710 | 2 |
_aSpringerLink (Online service) _980881 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031002175 |
776 | 0 | 8 |
_iPrinted edition: _z9783031011283 |
776 | 0 | 8 |
_iPrinted edition: _z9783031033841 |
830 | 0 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 _980882 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02256-2 |
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