Introductory digital image processing: A remote sensing perspective

TLDR

The book targets junior and graduate courses in remote sensing across geography, geology, forestry, and biology, focusing on processing aircraft- and satellite-derived data for Earth resource management. It aims to explain how to extract biophysical information from remote sensor data and provide up-to-date analytical methods for multidisciplinary land‑based environmental projects. The book is extensively illustrated, offers current analytical methods, and includes chapter reference lists and an appendix of imagery and geospatial sources. It is part of the Pearson Series Geographic Information Science.

Abstract

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.