Introductory Digital Image Processing 3rd Edition PDF Download Ebook. John R. Jensen focuses exclusively on the art and science of digital picture processing of satellite and plane-derived remotely-sensed data for resource management. Extensively illustrated, it explains the way to extract biophysical information from distant sensor data for nearly all multidisciplinary land-based mostly environmental projects.
Author additionally explains methods to apply digital picture processing techniques to remotely sensed imagery, and how one can acquire helpful results and information during this process. It assumes a course in introductory distant sensing or air picture interpretation, faculty algebra, and basic statistics.
This text shows a classification of digital image enhancement algorithms in frequent use. The classification given is useful but neither full nor unique. The algorithms are broadly divided into two classes, level transforms and neighborhood operations. The function is computed primarily based on global statistics of the image. One can course of a picture to have a desired gain and offset, for example, based on the mean and customary deviation, or alternatively, the minimal and most, of the input.
It is suggested textbook for students of bodily, natural, and social sciences interested in the quantitative evaluation of remotely sensed knowledge to resolve actual-world problems. It assumes a background in remote sensing, college-degree algebra, and univariate and multivariate statistics. It is suitable for a one-semester graduate or undergraduate course, substantially revised from the 1986 version to include new applied sciences and findings.
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