Introductory Digital Image Processing: A Remote Sensing Perspective (Pearson Series in Geographic Information Science)

Introductory Digital Image Processing: A Remote Sensing Perspective (Pearson Series in Geographic Information Science)

<p style="margin:0px;"> <b> <i>For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. </i> </b> </p> <p style="margin:0px;"> <b> <i>Introductory Digital Image Processing: A Remote Sensing Perspective </i> </b>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 <i>Geographic Information Science.</i> </p> <p style="margin:0px;"> <br> </p> <p style="margin:0px;">Now in full color, the <b>Fourth Edition</b> 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.</p>