LEADER 04702nam 22005775 450 001 9910337886203321 005 20200705053003.0 010 $a3-319-89923-6 024 7 $a10.1007/978-3-319-89923-7 035 $a(CKB)4100000004821794 035 $a(DE-He213)978-3-319-89923-7 035 $a(MiAaPQ)EBC5401127 035 $a(PPN)227406788 035 $a(EXLCZ)994100000004821794 100 $a20180523d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data for Remote Sensing: Visualization, Analysis and Interpretation$b[electronic resource] $eDigital Earth and Smart Earth /$fedited by Nilanjan Dey, Chintan Bhatt, Amira S. Ashour 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 154 p. 69 illus., 57 illus. in color.) 311 $a3-319-89922-8 327 $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. 330 $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. 606 $aGeographical information systems 606 $aEnvironmental sciences 606 $aOptical data processing 606 $aComputer mathematics 606 $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000 606 $aEnvironmental Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/G37000 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 615 0$aGeographical information systems. 615 0$aEnvironmental sciences. 615 0$aOptical data processing. 615 0$aComputer mathematics. 615 14$aGeographical Information Systems/Cartography. 615 24$aEnvironmental Science and Engineering. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a910.285 702 $aDey$b Nilanjan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhatt$b Chintan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAshour$b Amira S$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337886203321 996 $aBig Data for Remote Sensing: Visualization, Analysis and Interpretation$92010742 997 $aUNINA