Jude Hemanth received his BE degree in ECE from Bharathiar University in 2002, his ME in Communication Systems from Anna University in 2006, and his PhD from Karunya University in 2013. His main research areas include computational intelligence and image processing. He has authored more than 100 research papers in reputed International Journals.

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

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.