Artificial Intelligence Techniques for Satellite Image Analysis / / edited by D. Jude Hemanth

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (VIII, 274 p. 150 illus., 100 illus. in color.)
• Disciplina: 006.3; 910.28563
• Soggetto topico: Artificial intelligence; Remote sensing; Optical data processing; Pattern recognition; Artificial Intelligence; Remote Sensing/Photogrammetry; Image Processing and Computer Vision; Pattern Recognition
• Persona (resp. second.): HemanthD. Jude
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 1. 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.
• Sommario/riassunto: 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 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. .
• Titolo autorizzato: Artificial Intelligence Techniques for Satellite Image Analysis
• ISBN: 3-030-24178-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366632803321
• Lo trovi qui: Univ. Federico II
• Serie: Remote Sensing and Digital Image Processing, . 1567-3200 ; ; 24