Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time se
Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work in
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any rea
Presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The
This text provides coverage of the fundamentals, the techniques, and the demonstrated results of a variety of projects in a manner accessible to both the novice