For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology.
Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science.
Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.
Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.
In concise, high-def videos, various skills and techniques are demonstrated and explained. These cover topics for the novice, such as mounting and cleaning of optics, as well as for the more advanced learner, such as balanced detection, and lock-in amplifiers.
Various interactive widgets let you simulate the experience of aligning a laser beam to an optical system, aligning an interferometer to get fringes, or adjust a Fabry-Perot cavity while observing the mode spectrum. Other tools help you quickly find the Gaussian beam parameters of your laser from measured beam radii, and to calculate the position of a lens or pair of lenses to mode match a laser to a cavity.