000 | 03327cam a22006378i 4500 | ||
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001 | 9780429340369 | ||
003 | FlBoTFG | ||
005 | 20220711212410.0 | ||
006 | m d | | | ||
007 | cr ||||||||||| | ||
008 | 200612s2020 flu ob 001 0 eng | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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020 |
_a9780429340369 _q(ebook) |
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020 |
_a0429340362 _q(ebook) |
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020 |
_a9781000091540 _q(ePub ebook) |
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020 |
_a1000091546 _q(ePub ebook) |
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020 |
_a9781000091526 _q(PDF ebook) |
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020 |
_a100009152X _q(PDF ebook) |
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020 |
_a9781000091533 _q(Mobipocket ebook) |
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020 |
_a1000091538 _q(Mobipocket ebook) |
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020 |
_z9780367355715 _q(hardback) |
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020 |
_z9780367355746 _q(paperback) |
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020 | _z036735571X | ||
024 | 7 |
_a10.1201/9780429340369 _2doi |
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035 |
_a(OCoLC)1173541732 _z(OCoLC)1162844723 _z(OCoLC)1164383633 |
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035 | _a(OCoLC-P)1173541732 | ||
050 | 0 | 0 | _aG70.4 |
072 | 7 |
_aCOM _x037000 _2bisacsh |
|
072 | 7 |
_aTEC _x010000 _2bisacsh |
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072 | 7 |
_aTEC _x015000 _2bisacsh |
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072 | 7 |
_aRGW _2bicssc |
|
082 | 0 | 0 |
_a526.9/820285633 _223 |
100 | 1 |
_aKumar, Anil _c(Engineer), _eauthor. _916199 |
|
245 | 1 | 0 |
_aFuzzy machine learning algorithms for remote sensing image classification / _cAnil Kumar, A. Senthil Kumar, Priyadarshi Upadhyay. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton : _bCRC Press, _c2020. |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bn _2rdamedia |
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338 |
_aonline resource _bnc _2rdacarrier |
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505 | 0 | _aMachine learning -- Ground truth data for remote sensing image classification -- Fuzzy classifiers -- Learning based classifiers -- Hybrid fuzzy classifiers -- Fuzzy classifiers for temporal data processing -- Assessment of accuracy for soft classification. | |
520 |
_a"This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification outputs from actual satellite data. It provides details about the temporal indices database using proposed class-based sensor independent approach supported by practical examples. Fuzzy based algorithms with machine learning algorithms to prepare land cover maps is discussed. Accuracy assessment for soft classification outputs are included and all algorithms are supported by in-house developed tool as Sub-pixel Multi-spectral Image Classifier"-- _cProvided by publisher. |
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588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aRemote-sensing images _xClassification. _916200 |
|
650 | 0 |
_aRemote-sensing images _xData processing. _914116 |
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650 | 0 |
_aMachine learning. _91831 |
|
650 | 0 |
_aFuzzy algorithms. _916201 |
|
650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh _916202 |
|
650 | 7 |
_aTECHNOLOGY / Environmental Engineering & Technology _2bisacsh _910838 |
|
650 | 7 |
_aTECHNOLOGY / Imaging Systems _2bisacsh _910809 |
|
700 | 1 |
_aKumar, A. Senthil, _eauthor. _916203 |
|
700 | 1 |
_aUpadhyay, Priyadarshi, _eauthor. _916204 |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429340369 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 | _cEBK | ||
999 |
_c71207 _d71207 |