Description
Book SynopsisAdvances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.
Features
- Includes all new content and does not replace the previous edition
- Covers machine learning approaches in both signal and image processing for remote sensing
- Studies deep learning methods for remote sensing information extraction that is found
