000 | a | ||
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999 |
_c30099 _d30099 |
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008 | 200603b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781138613225 | ||
082 |
_a621.3670285 _bCAN |
||
100 | _aCanty, Morton John | ||
245 |
_aImage analysis, classification and change detection in remote sensing _b : with algorithms for python |
||
250 | _a4th ed. | ||
260 |
_bCRC Press _c2019 _aBoca Raton |
||
300 |
_axxi, 509 p. _bill (some col.) _c24 cm. |
||
365 |
_b111.00 _cGBP _d98.20 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _a"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change detection algorithm for polarimetric SAR image time series, as well as an introduction to deep learning in the context of supervised land-use classification. It includes Python (open source) versions of all of the main image analysis algorithms making it accessible to all readers"-- | ||
650 | _aRemote sensing | ||
650 | _aImage analysis | ||
650 | _aPython Programming | ||
942 |
_2ddc _cBK |