04030nam 22006375 450 991036663280332120251113202819.03-030-24178-510.1007/978-3-030-24178-0(CKB)4100000009844703(DE-He213)978-3-030-24178-0(MiAaPQ)EBC5978972(PPN)258058846(EXLCZ)99410000000984470320191113d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierArtificial Intelligence Techniques for Satellite Image Analysis /edited by D. Jude Hemanth1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (VIII, 274 p. 150 illus., 100 illus. in color.) Remote Sensing and Digital Image Processing,2215-1842 ;243-030-24177-7 Includes bibliographical references.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 SatelliteImages -- 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.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. .Remote Sensing and Digital Image Processing,2215-1842 ;24Artificial intelligenceGeographic information systemsComputer visionPattern recognition systemsArtificial IntelligenceGeographical Information SystemComputer VisionAutomated Pattern RecognitionArtificial intelligence.Geographic information systems.Computer vision.Pattern recognition systems.Artificial Intelligence.Geographical Information System.Computer Vision.Automated Pattern Recognition.006.3910.28563Hemanth D. Judeedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910366632803321Artificial Intelligence Techniques for Satellite Image Analysis2163226UNINA