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_c96320 _d96320 |
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| 001 | 14166575 | ||
| 005 | 20260801090914.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 240714t20242024enk o 000 0 eng d | ||
| 015 |
_aGBC489834 _2bnb |
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| 016 | 7 |
_a300209954 _2Uk |
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| 020 | _a9781789451764 | ||
| 020 |
_a9781394306657 _qelectronic book |
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| 020 |
_a1394306652 _qelectronic book |
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| 020 |
_a9781394306633 _qelectronic book |
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| 020 |
_a1394306636 _qelectronic book |
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| 020 |
_a9781394306640 _q(electronic bk.) |
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| 020 |
_a1394306644 _q(electronic bk.) |
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| 020 |
_z9781789451764 _qhardcover |
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| 020 |
_z1789451760 _qhardcover |
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| 024 | 8 | _aCIPO000116582 | |
| 035 | _a(OCoLC)1446125022 | ||
| 035 | 9 | _a(OCLCCM-Owned)1446125022 | |
| 037 |
_a9781789451764 _bO'Reilly Media |
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| 040 |
_aYDX _beng _erda _cYDX _dYDX _dOCLCO _dDG1 _dUKAHL _dCLOUD _dORMDA _dN$T _dUKMGB _dHOPLA _dOCLCL |
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| 041 | _aeng | ||
| 049 | _aMAIN | ||
| 050 | 4 |
_aG70.4 _b.M85 2024 |
|
| 245 | 0 | 0 |
_aMultitemporal Earth observation image analysis : _bremote sensing image sequences / _ccoordinated by Clément Mallet, Nesrine Chehata. |
| 264 | 1 |
_aLondon, UK : _bISTE Ltd ; _aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2024. |
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| 264 | 4 | _c©2024 | |
| 300 | _a1 online resource | ||
| 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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| 490 | 0 | _aSciences. Image. Information seeking in images and videos | |
| 520 | _aEarth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications. | ||
| 588 | _aDescription based on online resource; title from digital title page (viewed on July 24, 2024). | ||
| 650 | 0 |
_aRemote-sensing images. _0http://id.loc.gov/authorities/subjects/sh94003667 |
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| 650 | 6 | _aImages-satellite. | |
| 650 | 7 |
_aImage Processing. _2bisacsh/2022 |
|
| 650 | 7 |
_aCOMPUTERS. _2bisacsh/2022 |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING. _2bisacsh/2022 |
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| 650 | 7 |
_aRemote Sensing & Geographic Information Systems. _2bisacsh/2024 |
|
| 650 | 7 |
_aImage Processing. _2bisacsh/2024 |
|
| 650 | 7 |
_aCOMPUTERS. _2bisacsh/2024 |
|
| 650 | 7 |
_aTECHNOLOGY & ENGINEERING. _2bisacsh/2024 |
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| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aMallet, Clément, _eeditor. _1https://id.oclc.org/worldcat/entity/E39PCjCvHm7ywvyxxBvJpHx9H3 _0http://id.loc.gov/authorities/names/no2018067388 |
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| 700 | 1 |
_aChehata, Nesrine, _eeditor. |
|
| 776 | 0 | 8 |
_iPrint version: _z1789451760 _z9781789451764 _w(OCoLC)1442322645 |
| 856 | 4 | 0 |
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394306657 _yFull text is available at Wiley Online Library. Click here to view. |
| 942 |
_2ddc _cER |
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