Explains how to apply digital image processing techniques toremotely sensed imagery, and how to obtain useful results andinformation during this process. It assumes a course inintroductory remote sensing or air photo interpretation,college algebra, and basic statistics.
A textbook for students of physical, natural, and social sciences interested in the quantitative analysis of remotely sensed data to solve real-world problems. Assumes a background in remote sensing, college-level algebra, and univariate and multivariate statistics. Suitable for a one-semester graduate or undergraduate course. Substantially revised from the 1986 edition to incorporate new technologies and findings. Includes 16 pages of color plates. Annotation c. by Book News, Inc., Portland, Or.