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000923475 020__ $$a9783030241780$$q(electronic book)
000923475 020__ $$a3030241785$$q(electronic book)
000923475 020__ $$z9783030241773
000923475 0247_ $$a10.1007/978-3-030-24178-0$$2doi
000923475 035__ $$aSP(OCoLC)on1128093296
000923475 035__ $$aSP(OCoLC)1128093296
000923475 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dUKMGB$$dOCLCF$$dESU
000923475 049__ $$aISEA
000923475 050_4 $$aG70.4
000923475 08204 $$a910.28563$$223
000923475 24500 $$aArtificial intelligence techniques for satellite image analysis /$$cD. Jude Hemanth, editor.
000923475 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020].
000923475 300__ $$a1 online resource (viii, 274 pages) :$$billustrations.
000923475 336__ $$atext$$btxt$$2rdacontent
000923475 337__ $$acomputer$$bc$$2rdamedia
000923475 338__ $$aonline resource$$bcr$$2rdacarrier
000923475 4901_ $$aRemote sensing and digital image processing,$$x1567-3200 ;$$vvolume 24
000923475 5050_ $$a1. Heightening satellite image display via mobile augmented reality -- a cutting-edge planning model.- 2. Multithreading Approach for clustering of Multi-Plane Satellite Images.- 3. Classification of field level crop types with a time series satellite data using Deep Neural Network.- 4. Detection of ship from satellite images using deep convolutional neural networks with improved median filter.- 5. Artificial Bee Colony optimized contrast enhancement for satellite image fusion.- 6. Effective transform domain denoising of oceanographic sar images for improved target characterization.- 7. Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images.- 8. Detection of natural features and objects in satellite images by semantic segmentation using neural networks.- 9. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery.- 10. Crop Classification and Mapping for Agricultural Land from Satellite Images.- 11. Next Generation Artificial Intelligence Techniques for Satellite Data Processing.- 12. A wavelet transform applied spectral index for effective water body extraction from moderate resolution satellite images.
000923475 506__ $$aAccess limited to authorized users.
000923475 520__ $$aThe main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing. 
000923475 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 20, 2019).
000923475 650_0 $$aRemote sensing$$xData processing.
000923475 650_0 $$aArtificial intelligence.
000923475 7001_ $$aHemanth, D. Jude,$$eeditor.
000923475 830_0 $$aRemote sensing and digital image processing ;$$vv. 24.
000923475 852__ $$bebk
000923475 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-24178-0$$zOnline Access$$91397441.1
000923475 909CO $$ooai:library.usi.edu:923475$$pGLOBAL_SET
000923475 980__ $$aEBOOK
000923475 980__ $$aBIB
000923475 982__ $$aEbook
000923475 983__ $$aOnline
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