The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. 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.

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.  

Presents step-by-step algorithms of the satellite image analysis methods allowing researchers to reproduce the work for further enhancements Covers diversified image analysis methods which will be useful for beginners Provides extensive experimental results that validate the methods used in the book chapters