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Artificial intelligence techniques for satellite image analysis /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Artificial intelligence techniques for satellite image analysis // D. Jude Hemanth, editor.
その他の著者:	Hemanth, D. Jude.
出版された:	Cham, Switzerland :Springer,c2020.
記述:	viii, 274 p. :ill. (chiefly col.) ;24 cm.
主題:	Remote-sensing images. -
国際標準図書番号 (ISBN):	9783030241803 (pbk.) :
国際標準図書番号 (ISBN):	9783030241773 (hbk.)

Artificial intelligence techniques for satellite image analysis /
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035 $a (OCoLC)1103222152
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050 # 4 $a G70.4 $b .A7 2020
082 0 4 $a 621.3678 $2 23
245 0 0 $a Artificial intelligence techniques for satellite image analysis / $c D. Jude Hemanth, editor.
260 # $a Cham, Switzerland : $b Springer, $c c2020.
300 $a viii, 274 p. : $b ill. (chiefly col.) ; $c 24 cm.
490 1 $a Remote sensing and digital image processing, $x 1567-3200 ; $v v. 24
504 $a Includes bibliographical references.
505 0 0 $t Heightening satellite image display via mobile augmented reality - a cutting-edge planning model / $r Sagaya Aurelia -- $t Multithreading approach for clustering of multiplane satellite images / $r C. Rashmi and G. Hemantha Kumar -- $t Classification of field-level crop types with a time series satellite data using deep neural network / $r J. Jayanth, V. S. Shalini, T. Ashok Kumar, and Shivaprakash Koliwad -- $t Detection of ship from satellite images using deep convolutional neural networks with improved medial filter / $r S. Iwin Thanakumar Joseph, J. Sasikala, and D. Sujitha Juliet -- $t Artificial bee colony-optimized contrast enhancement for satellite image fusion / $r Anju Asokan and J. Anitha -- $t Effective transform domain denoising of oceanographic SAR images for improved target characterization / $r S. Arivazhagan, W. Sylvia Lilly Jebarani, R. Newlin Shebiah, S. Vineth Ligi, P. V. Hareesh Kumar, and K. Anilkumar -- $t Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images / $r V. P. Ananthi -- $t Detection of natural features and objects in satellite images by semantic segmentation using neural networks / $r Vihar Kurama, Samhita Alla, and Sridevi Tumula -- $t Change detection of tropical mangrove ecosystem with subpixel classification of time series hyperspectral imagery / $r Dipanwita Ghosh and Somdatta Chakravortty -- $t Crop classification and mapping for agricultural land from satellite images / $r A. Kalaivani and Rashmita Khilar -- $t Next-generation artificial intelligence techniques for satellite data processing / $r Neha Sisodiya, Nitant Dube, and Priyank Thakkar -- $t A wavelet transform applied spectral index for effective water body extraction from moderate-resolution satellite / $r R. Jenice Aroma and Kumudha Raimond.
520 # $a "The 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 finding 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"--Back cover.
650 # 0 $a Remote-sensing images. $3 169766
650 # 0 $a Image processing $x Digital techniques. $3 148674
650 # 0 $a Artificial intelligence. $3 148186
700 1 # $a Hemanth, D. Jude. $3 1000141559
830 0 $a Remote sensing and digital image processing ; $v v. 24. $3 1000141560