Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis

The book "Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis" offers an innovative approach to analyzing multivariate image data, particularly in the context of landscape analysis. It explores the methodological foundations of image processing and its application to complex datasets. The authors, Wayne L. Myers and Ganapati P. Patil, present a systematic collection of statistical heuristics that enable modeling image data in a quasi-perceptual manner. The hierarchical organization of image segments into so-called polypatterns allows for deeper insights into the relationships between the various components of an image. This approach reflects the way the human eye perceives and interprets scenes by segmenting elements based on similarity and difference. The book is a valuable resource for professionals and students engaged in the analysis of image data and its application in landscape research.