000			04682cam a22005415i 4500
001			21770265
003			OSt
005			20220908132402.0
006			m |o d |
007			cr |||||||||||
008			180523s2019 gw |||| o |||| 0|eng
010			_a 2019759669
020			_a9783319899237
024	7		_a10.1007/978-3-319-89923-7 _2doi
035			_a(DE-He213)978-3-319-89923-7
040			_aDLC _beng _epn _erda _cJKRC
082	0	4	_a910.285 _223 _bDEY
245	0	0	_aBig Data for Remote Sensing: Visualization, Analysis and Interpretation : _bDigital Earth and Smart Earth / _ced by Nilanjan Dey, Chintan Bhatt and Amira S. Ashour.
250			_a1st
260			_aCham : _bSpringer International Publishing : Imprint: Springer, _c2019.
300			_aXIV, 154 p. : _b69 illustrations, 57 illustrations in color.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
365			_b89.99 _cEuros
505	0		_a(It will be properly included - PDF attached) Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health -- Aerial and Satellite imagery and big data: blending old technologies with new trends -- Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis -- Earth Science [Big] Data Analytics -- Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.
520			_aThis book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aComputer mathematics. _92750
650		0	_aEnvironmental sciences. _917917
650		0	_aGeographical information systems. _917918
650		0	_aOptical data processing. _92666
650	1	4	_aGeographical Information Systems/Cartography. _0https://scigraph.springernature.com/ontologies/product-market-codes/J13000 _917919
650	2	4	_aComputational Mathematics and Numerical Analysis. _0https://scigraph.springernature.com/ontologies/product-market-codes/M1400X _917920
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22005 _92670
650	2	4	_aEnvironmental Science and Engineering. _0https://scigraph.springernature.com/ontologies/product-market-codes/G37000 _917921
653			_aRemote sensing--Data processing _aBig data _aComputer science--Mathematics _aEnvironmental sciences _aGeographic information systems _aOptical data processing _aGeography _aComputer graphics
700	1		_aAshour, Amira S. _eEditor. _917922
700	1		_aBhatt, Chintan. _eEditor. _917923
700	1		_aDey, Nilanjan. _eEditor. _917924
776	0	8	_iPrint version: _tBig data for remote sensing. _z9783319899220 _w(DLC) 2018941536
776	0	8	_iPrinted edition: _z9783030078959
776	0	8	_iPrinted edition: _z9783319899220
776	0	8	_iPrinted edition: _z9783319899244
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2ddc _c1 _e23 _n0
999			_c411271 _d411271